├── README.md
├── GSoC_Final_Report_Format.md
├── GSoC-2021
├── 22-Shyam-Service-Market.md
├── 17-Esandha-Vithanage-S-ChainX-Product-Hunter.md
├── 15-Shadow-CodeLabZ.md
├── 09-Lycanthrope-Code-Labz.md
├── 12-Pola-Hano-Shehat-Improving-Image-Lab-UI-UX.md
├── 05-Sandagomi-Pieris-CrawlerX-Distributed-Crawling-System.md
└── 04-Beshiniii-CrawlerX-Develop-Extensible-Distributed-Scalable-Web-Crawling-System.md
├── GSoC-2018
├── Nadun_Bandara-Stackle.md
├── Kesh101-ImageLab.md
├── Rajendra_Kadam-NodeCloud_NewArchitecture_Azure.md
├── Dilantha_Wijayarathne-CLocal_GCP.md
├── Gayashan_Bombuwala-Bassa_Mobile.md
├── Malith_Senaweera-OpenSNA.md
├── Kavinda_Jayakody-OpenDF_Frontend_ReactJS.md
├── Shivam_Arora-Stackle_routes.md
├── Dinith_Minura-GoSocial_Common_template.md
├── Sumedhe_Dissanayake-Senz_Switch.md
├── Lakindu_Gunasekara-CLocal_Azure.md
├── Pratik_Dhanave-GoCloud.md
├── Janagan_Siva-Drola_Backend.md
└── OddCN_GoCloud_AliCloud_Vulter.md
├── GSoC-2022
├── 22-Mahmoud-Mohamed-Abdelwahab-SCoRe-Lab-Improving-the-supporting-more-models-in-the-TensorMap.md
├── 23-1209973-Survey-6.md
├── 06-Shahaab-Manzar-Codelabz-Project-Proposal.md
├── 18-pikulk-OpenXDR-GSoC-2022.md
├── 17-Upalanka-K-OpenXDR-Real-time-Open-Source-Extended-Detection-and-Response-System.md
├── 08-Takeshii-CrawlerX-Web.md
├── 05-Saksham-Sharma-CodeLabz-Frontend-Improvements.md
├── 07-Drifter-CrawlerX-Extend-CrawlerX-for-multi-protocols.md
└── 21-Kaveesha-Dinamidu-Rewrite-ImageLab-backend.md
├── GSoC-2020
├── Heshan-Geasman-Automated-deployments-and-testing-for-installer-to.md
├── Dande9304-Tor-Scraper.md
├── made777-Tor Scraper.md
├── Jiraiya665-TAF.md
├── Tharaka-Hewavitharana-Raven.md
├── Sashika-Nawarathne-LabelLab-Updating-the-mobile-application.md
├── Asitha-Indrajith-Community-Dictionary.md
├── Lakshyajeet-Dwivedee-Integrate-ML-module-for-LabelLab.md
├── Lakindu-Akash-Bug-Zero-gateway.md
├── Harshit-Verma-Express-Python.md
├── Nimesha-S-ChainX.md
├── Poornima-Rangoda-CrawlerX-Extensible-Distributed-Scalable-Crawler-System.md
├── Hansika-Wanniarachchi-Ukiyo-A-push-based-container-update-tool.md
├── Thisura-Rathnayake-CodeLabz.md
├── shivanshu1333-OpenMF.md
├── Devon-Wijesinghe-Webiu.md
└── Vinuri BandarCommunity-Dictionary-A-crowd-sourced-multilingual-dictionary.md
├── GSoC-2017
├── Tharidu_Fernando_EtherBeat_Smart_Contract_Monitoring_Service.md
├── Kavindi_Query_Parser_For_Senze_Language.md
├── Achinthya_OpenPub_Publication_Manager.md
├── Namal_Jayasuriya_DroLa.md
├── Lasith_Niroshan_Implementing_An_Android_Application_For_Controlling_Drones.md
├── Pasan_Gamaetige_Stackle.md
├── Rajika_AbeyrathneNode_Cloud_Unified_API_For_Cloud_Providers.md
├── Pasan_Ranathunga_Rewriting_OpenDF_Frontend_Using_React.md
├── Hasanga_Somaratne_DroneSym.md
├── Pratik_Dhanave_GoCloud.md
├── Shehan_Weerakkody_OpenDF_Image_Annotation_And_DescribeModule.md
├── Priya_Pappachan_OpenIoE_Implement_Bidirectional_Publish_Subscribe_Behaviour.md
├── Amila_Karunathilaka_Drone_Comm.md
├── Yasanka_Horawalavithana_BellyDynamic_A_Scalable_Data_Structure_To_Handle_Onlin_And_Offline_Dynamic_Graph_Objects.md
└── Kaveesha_Baddage-Bassa_Dockerize_And_Modify_Features.md
└── GSoC-2019
├── withan-OpenIoE.md
├── Madhuri-VBMDAS.md
├── dande9304-OpenIoE.md
├── Tharaka-Romesh-NodeCloud.md
├── Wolf-Legend-Androphsy(OpenMF).md
├── Amrita-Chaturvedi-NodeCloud.md
├── Dilina-Dehigama-DroneSym.md
├── Pawan-Bhadu-Bassa.md
├── Anmol-Bansal-Fact-Bounty.md
├── Wathsara-Daluwatta-Go-Social.md
├── Yash-Mehrotra-Senz.md
├── Tuan-Amith-Fact-Bounty.md
├── Udesh-Kumarasignhe-LabelLab.md
├── Poornima-Rangoda-ChainKeeper.md
├── Lakindu-Gunasekara-CLocal-Azure.md
├── Durgesh-Kumar-Tensor-Map.md
├── Shehan-Dhaleesha-Go-social.md
├── Vibhor-Gupta-Bassa.md
└── Devon-Wijesinghe-Fact-Bounty.md
/README.md:
--------------------------------------------------------------------------------
1 | # GSoC
2 | SCoRe Lab GSoC Final Reports
3 |
--------------------------------------------------------------------------------
/GSoC_Final_Report_Format.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 |
3 | # Project Abstract
4 |
5 | ## [GSoC Project Page](http://LinikToYourGSoCProjectPage)
6 |
7 | ## [GSoC Project Proposal](http://LinikToYourGSoCProjectProposal)
8 |
9 | ## [GitHub Organization Repo](http://github.com/repo)
10 |
11 | ## [GitHub Personal Repo](http://github.com/repo)
12 |
13 | ## [Commits during GSoC 2017](http://github.com/commits)
14 |
15 | ## [Project Demo Video](http://LinkToDemoVideo)
16 |
17 | ## [Project Wiki](http://github.com)
18 |
19 | ## [GSoC Blog](http://GSoCBlog)
20 |
21 | # Work Summary
22 |
23 | # What Covered
24 |
25 | # What left
26 |
27 | #
--------------------------------------------------------------------------------
/GSoC-2021/22-Shyam-Service-Market.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 |
3 | # Project Abstract
4 |
5 | ## [GSoC Project Page](http://LinikToYourGSoCProjectPage)
6 |
7 | ## [GSoC Project Proposal](http://LinikToYourGSoCProjectProposal)
8 |
9 | ## [GitHub Organization Repo](http://github.com/repo)
10 |
11 | ## [GitHub Personal Repo](http://github.com/repo)
12 |
13 | ## [Commits during GSoC 2017](http://github.com/commits)
14 |
15 | ## [Project Demo Video](http://LinkToDemoVideo)
16 |
17 | ## [Project Wiki](http://github.com)
18 |
19 | ## [GSoC Blog](http://GSoCBlog)
20 |
21 | # Work Summary
22 |
23 | # What Covered
24 |
25 | # What left
26 |
27 | #
--------------------------------------------------------------------------------
/GSoC-2021/17-Esandha-Vithanage-S-ChainX-Product-Hunter.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 |
3 | # Project Abstract
4 |
5 | ## [GSoC Project Page](http://LinikToYourGSoCProjectPage)
6 |
7 | ## [GSoC Project Proposal](http://LinikToYourGSoCProjectProposal)
8 |
9 | ## [GitHub Organization Repo](http://github.com/repo)
10 |
11 | ## [GitHub Personal Repo](http://github.com/repo)
12 |
13 | ## [Commits during GSoC 2017](http://github.com/commits)
14 |
15 | ## [Project Demo Video](http://LinkToDemoVideo)
16 |
17 | ## [Project Wiki](http://github.com)
18 |
19 | ## [GSoC Blog](http://GSoCBlog)
20 |
21 | # Work Summary
22 |
23 | # What Covered
24 |
25 | # What left
26 |
27 | #
--------------------------------------------------------------------------------
/GSoC-2018/Nadun_Bandara-Stackle.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 |
3 | ## Student Info
4 |
5 | ### Project Abstract
6 |
7 | ### [GSoC Project Page](http://LinikToYourGSoCProjectPage)
8 |
9 | ### [GSoC Project Proposal](http://LinikToYourGSoCProjectProposal)
10 |
11 | ### [GitHub Organization Repo](http://github.com/repo)
12 |
13 | ### [GitHub Personal Repo](http://github.com/repo)
14 |
15 | ### [Commits during GSoC 2017](http://github.com/commits)
16 |
17 | ### [Project Demo Video](http://LinkToDemoVideo)
18 |
19 | ### [Project Wiki](http://github.com)
20 |
21 | ### [GSoC Blog](http://GSoCBlog)
22 |
23 | ### Work Summary
24 |
25 | ### What Covered
26 |
27 | ### What left
28 |
29 | ### Reference
--------------------------------------------------------------------------------
/GSoC-2022/22-Mahmoud-Mohamed-Abdelwahab-SCoRe-Lab-Improving-the-supporting-more-models-in-the-TensorMap.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 |
3 | # Project Abstract
4 |
5 | ## [GSoC Project Page](http://LinikToYourGSoCProjectPage)
6 |
7 | ## [GSoC Project Proposal](http://LinikToYourGSoCProjectProposal)
8 |
9 | ## [GitHub Organization Repo](http://github.com/repo)
10 |
11 | ## [GitHub Personal Repo](http://github.com/repo)
12 |
13 | ## [Commits during GSoC 2017](http://github.com/commits)
14 |
15 | ## [Project Demo Video](http://LinkToDemoVideo)
16 |
17 | ## [Project Wiki](http://github.com)
18 |
19 | ## [GSoC Blog](http://GSoCBlog)
20 |
21 | # Work Summary
22 |
23 | # What Covered
24 |
25 | # What left
26 |
27 | #
--------------------------------------------------------------------------------
/GSoC-2020/Heshan-Geasman-Automated-deployments-and-testing-for-installer-to.md:
--------------------------------------------------------------------------------
1 | # Automated deployments and testing for installer.to
2 |
3 | ## Student Info
4 |
5 | * Name - Heshan Geasman
6 | * Email -
7 | * GitHub Profile -
8 | * Medium -
9 | * Twitter - []()
10 |
11 | ### Project Abstract
12 |
13 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/)
14 |
15 | ### [GSoC Project Proposal]()
16 |
17 | ### [GitHub Organization Repo]()
18 |
19 | ### [GitHub Personal Repo]()
20 |
21 | ### [Commits during GSoC 2020]()
22 |
23 | ### [Project Demo Video]()
24 |
25 | ### [GSoC Blog]()
26 |
27 | ### Work Summary
28 |
29 | ### What Covered
30 |
31 | ### What left
32 |
33 | ### Reference
34 |
35 |
--------------------------------------------------------------------------------
/GSoC-2017/Tharidu_Fernando_EtherBeat_Smart_Contract_Monitoring_Service.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 | EtherBeat
3 |
4 | ## Student Info
5 | Tharidu Fernando
6 | MSc Student at KTH, Stockholm, Sweden
7 |
8 | ### Project Abstract
9 |
10 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6738116227366912)
11 |
12 | ### [GSoC Project Proposal](https://summerofcode.withgoogle.com/serve/5369471546949632/)
13 |
14 | ### [GitHub Organization Repo](https://github.com/scorelab/EtherBeat)
15 |
16 | ### [GitHub Personal Repo](https://github.com/tharidu/EtherBeat)
17 |
18 | ### [Commits during GSoC 2017](https://github.com/tharidu/EtherBeat/commits/master)
19 |
20 | ### [Project Demo Video](http://LinkToDemoVideo)
21 |
22 | ### [Project Wiki](https://github.com/tharidu/EtherBeat/blob/master/README.md)
23 |
24 | ### Work Summary
25 | Main goal was designing a smart contract monitoring service for Ethereum utilizing that can provide enhance querying mechanisms for users.
26 | I have completed the NodeJS + GraphQL server that can provide the querying interface.
27 | Further, for block extraction and storing it to graph database, a separate Python script was developed.
28 |
29 | ### What Covered
30 | - GraphQL server
31 | - Contract querying
32 | - Reading smart contract properties
33 | - Authentication middleware
34 | - Python based block extractor
35 |
36 | ### What left
37 | - User-based notifications
38 | - Smart contract specific notifications (for balance)
39 |
40 | ### Reference
41 |
--------------------------------------------------------------------------------
/GSoC-2018/Kesh101-ImageLab.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 | ImageLab
3 | ## Student Info
4 | * Name: Keshan Withanage
5 | * Email: keshwithan@gmail.com
6 | * University: Swinburne university of technology
7 | * GitHub Profile: https://github.com/keshwithan
8 | * LinkdIn Profile: https://www.linkedin.com/in/keshanwithanage/
9 | ### Project Abstract
10 | ImageLab is an image analyzing platform. Users can load large set of images to ImageLab and then they can perform analyzes by labeling and clustering them by using different object detection modules. ImageLab also have a user management component as well as an image analyzing component.
11 | ### [GSoC Project Page](http://LinikToYourGSoCProjectPage)
12 |
13 | ### [GSoC Project Proposal](http://LinikToYourGSoCProjectProposal)
14 |
15 | ### [GitHub Organization Repo](http://github.com/repo)
16 |
17 | ### [GitHub Personal Repo](http://github.com/repo)
18 |
19 | ### [Commits during GSoC 2017](http://github.com/commits)
20 |
21 | ### [Project Demo Video](http://LinkToDemoVideo)
22 |
23 | ### [Project Wiki](http://github.com)
24 |
25 | ### [GSoC Blog](http://GSoCBlog)
26 |
27 | ### Work Summary
28 | * Implement Sign-In functionality.
29 | * Implement Sign-up functionality.
30 | * Implement Usermanager component.
31 | * Implement Image Analyzing component.
32 | ### What Covered
33 | Completed all the above mentioned tasks.
34 | ### What left
35 | Additional components and APIs can be added to improve the next version of the application.
36 | ### Reference
37 | * Tensorflow - https://www.tensorflow.org/
38 | * Python - https://www.python.org/
39 | * Flask - http://flask.pocoo.org/
40 | * React - https://reactjs.org/
41 | * MongoDB - https://www.minio.io/
42 |
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/GSoC-2022/23-1209973-Survey-6.md:
--------------------------------------------------------------------------------
1 | # Survey6
2 |
3 | # Project Abstract
4 |
5 | Ipv6 is the internet's future, and it necessitated a more scalable survey tool to comprehend how routing and DNS function. The purpose of this project is to create an IPv6 listener that will actively collect IPv6 traffic data as a active data collection tool for cyber security research.
6 |
7 | ## [GSoC Project Page](https://summerofcode.withgoogle.com/programs/2022/projects/2cIQ4Zvg)
8 |
9 | ## [GSoC Project Proposal](https://summerofcode.withgoogle.com/proposals/details/NE6vYXHq)
10 |
11 | ## [GitHub Organization Repo](https://github.com/web-telescope/Survey6-Active)
12 |
13 | ## [GitHub Personal Repo](https://github.com/1209973/Survey6-Active)
14 |
15 | ## [Commits during GSoC 2022](https://github.com/web-telescope/Survey6-Active/commits?author=1209973)
16 |
17 | ## [Project Demo Video](https://drive.google.com/file/d/14ja1hqBrf8gNS9U5xJOxu4pF69cjpY2o/view?usp=sharing)
18 |
19 | ## [GSoC Blog](https://medium.com/@chamath_eka)
20 |
21 | # Work Summary
22 |
23 | In GSoc 2022, I worked on the development of the active scanner in Survey6. Decided the folder strucutre and created the build file. Created a ping function using sockets to check the reachbility of the ipv6 address. Worked on optimization using threads.
24 |
25 | # What Covered
26 |
27 | - Generates all the ipv6 addresses for a given network range.
28 | - For each Ipv6 check its reachbility.
29 | - Use threading to improve performance.
30 | - saves the results to a CSV file
31 |
32 | # What left
33 |
34 | - Optimizing the scaner by generating ipv6 address for the given network range using a statistical modal.
35 | - Identifying alias ipv6 addresses.
36 |
--------------------------------------------------------------------------------
/GSoC-2020/Dande9304-Tor-Scraper.md:
--------------------------------------------------------------------------------
1 | # Tor Scraper
2 | Tor Scraper - Hidden ServiceCrawler
3 |
4 | ## Student Info
5 |
6 | * Name - D.DE SILVA
7 | * Email - dande9304@gmail.com
8 | * GitHub profile - https://github.com/dande9304
9 |
10 | ### Project Abstract
11 | The Tor Scraper is a dark web tor hidden service crawler. It starts crawling from a given .onion URL list(seed list) and it also discovers new hidden service URLs. In the current implementation, most of the configurations need to be done via command line and editing the code. In this project, we make more user friendly and we will add new user management component improves the monitoring interface.
12 |
13 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4738535497662464)
14 |
15 | ### [GSoC Project Proposal](https://drive.google.com/file/d/1CCK4vBLB8RQNsqsBkuRTtmv7TjDgvT4Z/view?usp=sharing)
16 |
17 | ### [GitHub Organization Repo](https://github.com/scorelab/TorScrapper)
18 |
19 | ### [GitHub Personal Repo](https://github.com/dande9304/TorScrapper)
20 |
21 | ### [Commits during GSoC 2020](https://github.com/scorelab/TorScrapper/commits/master)
22 |
23 | ### [Project Demo Video]()
24 |
25 | ### [GSoC Blog]()
26 |
27 | ### Work Summary
28 | * Create develop interactive and attractive user-interface
29 | * Add user management module
30 | * Improve current crawler progress monitoring system
31 |
32 | ### What Covered
33 | Completed all the above mentioned tasks.
34 |
35 | ### What left
36 | * Documentation need to be updated.
37 | * Code need to be optimize more.
38 | * Complete more of the testing for the project.
39 |
40 |
41 |
42 | ### Reference
43 | * Tor Scraper - (https://github.com/scorelab/TorScrapper)
44 | * Python - (https://www.python.org/)
45 |
--------------------------------------------------------------------------------
/GSoC-2018/Rajendra_Kadam-NodeCloud_NewArchitecture_Azure.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 |
3 | Rewrite NodeCloud core and add Azure Plugin Support.
4 |
5 | ## Student Info
6 |
7 | Name: Rajendra Kadam
8 |
9 | University: Mumbai University
10 |
11 | ### Project Abstract
12 |
13 | Rewrite core architecture so addition of new cloud providers is easy. Follow plugin architecture to build new support. Also add NodeCloud support for Azure.
14 |
15 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6016749460258816)
16 |
17 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1EA7UeKi0tSuvUiiZdF3TWQt7grVMsAkggEt-HXr2FeE/edit?usp=sharing)
18 |
19 | ### [GitHub Organization Repo](https://github.com/cloudlibz/nodecloud-azure-plugin)
20 |
21 | ### [GitHub Personal Repo](https://github.com/raju249/nodecloud-azure)
22 |
23 | ### [Commits during GSoC 2018](https://github.com/cloudlibz/nodecloud-azure-plugin/commits?author=raju249)
24 |
25 | ### Project Demo Video
26 |
27 | ### [Project Wiki](https://github.com/cloudlibz/nodecloud-core/blob/master/README.md)
28 |
29 | ### [GSoC Blog](https://medium.com/nodecloud)
30 |
31 | ### Work Summary
32 |
33 | Everything planned in the proposal for the summer is completed with extra support implementation. NodeCloud now supports new architecture along with Azure support.
34 |
35 | ### What Covered
36 |
37 | Everything mentioned in the proposal with other services support which were not mentioned in the proposal. Coding features for the library along with unit tests and documentation for NodeCloud Azure Plugin and Core.
38 |
39 | ### What left
40 |
41 | Documentation for NodeCloud AWS and NodeCloud GCP plugins.
42 |
43 | ### Reference
44 |
45 | https://github.com/Azure/azure-sdk-for-node
46 |
--------------------------------------------------------------------------------
/GSoC-2017/Kavindi_Query_Parser_For_Senze_Language.md:
--------------------------------------------------------------------------------
1 | # Query parser for Senze language
2 |
3 | ## Student Info
4 |
5 | Name : Kavindi Oshini
6 | E-mail : kavindi.2016385@iit.ac.lk
7 |
8 | ### Project Abstract
9 |
10 | In MySensors platform the application communicate each other using Senzes language. At the moment there are no proper mechanism to generate and parse Senzes queries. From this project we will provide dynamic query generating and parsing library for Senzes language.
11 |
12 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6119088832118784)
13 |
14 | ### [GSoC Project Proposal](https://storage.googleapis.com/summerofcode-prod.appspot.com/gsoc/core_project/doc/5688406618144768_1491223267_QueryparserforSenzelanguage.pdf?Expires=1504110695&GoogleAccessId=summerofcode-prod%40appspot.gserviceaccount.com&Signature=hWIpzdCPAcBQn9zfM6qu30rMAipCGjzrtfbpYflsEikTiIrcrHc%2BdrATTfXfbDCh7HpTXhuHLm5ipvK5sXZSrw994gNWvBvdaEJ%2F9%2BDn5ZF%2BmxpIMMkPj7WzUn6lB7Q2KpNIuWo3W2b%2FpOVkEtcpddX8aZhXewkay%2BxANGjK7Hx2Ja1jyqLKK1D6ZCXYRgqRE7VHXuwr%2BqCwL7b2LsH5DqsUv2bo7W%2BQbW7DbRxX4awFO3r86ps802eXPrDO4pfFbBUtvwipBFF5X7JhD%2FdNZAMEood0oWOCAZlYQOXX1dDnJfUtAfP5DqN0f41tM1Fe1aJ6iuqwo4%2FsrIRmwy0jlA%3D%3D)
15 |
16 | ### [GitHub Organization Repo](http://github.com/repo)
17 |
18 | ### [GitHub Personal Repo](https://github.com/kavindiOshini/SenzeQL)
19 |
20 | ### [Commits during GSoC 2017](https://github.com/kavindiOshini/SenzeQL/commits/master)
21 |
22 | ### [Project Demo Video](http://LinkToDemoVideo)
23 |
24 | ### [Project Wiki](https://github.com/scorelab/SenzeQL/wiki/)
25 |
26 | ### [GSoC Blog](http://GSoCBlog)
27 |
28 | ### Work Summary
29 |
30 | Built a query parser and builder in Senze language. Also create Senze client to demonstrate parser and builder.
31 |
32 | ### What Covered
33 |
34 | - Senze query parser
35 | - Senze query builder
36 | - Senze client
37 |
38 | ### What left
39 |
40 | - Performance improvements
41 |
42 | ### Reference
--------------------------------------------------------------------------------
/GSoC-2019/withan-OpenIoE.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 | OpenIoE - Implement authentication for message broker and rest API for OpenIOE
3 |
4 | ## Student Info
5 | * Name: K.Withan
6 | * Email: keshwithan@gmail.com
7 | * GitHub Profile: https://github.com/keshwithan
8 |
9 | ### Project Abstract
10 | OpenIoE is an Open-source middleware platform for building, managing, and integrating connected products with the Internet of Everything. It enables you to subscribe to data streams and get data from the sensors and store them. The application was generated using JHipster application generator.
11 |
12 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5322495769444352)
13 |
14 | ### [GSoC Project Proposal](https://drive.google.com/file/d/1W19K_ADzj9rWNvhv2q8lNiJ5B5t_0JDL/view?usp=sharing)
15 |
16 | ### [GitHub Organization Repo](https://github.com/scorelab/OpenIoE)
17 |
18 | ### [GitHub Personal Repo](https://github.com/keshwithan/OpenIoE)
19 |
20 | ### [Commits during GSoC 2019](https://github.com/scorelab/OpenIoE/commits/master)
21 |
22 | ### [Project Demo Video](http://LinkToDemoVideo)
23 |
24 | ### [Project Wiki](http://github.com)
25 |
26 | ### [GSoC Blog](http://GSoCBlog)
27 |
28 | ### Work Summary
29 | * Develop the JAAS plugin for authenting user credential.
30 | * Implement token based authentication using redis.
31 | * Implement authorization layer.
32 | * Wrote Unit tests for the developed functions.
33 |
34 | ### What Covered
35 | Completed all the above mentioned tasks.
36 |
37 | ### What left
38 | * Write more unit tests for some components.
39 | * Documentations needs to be updated.
40 |
41 |
42 | ### Reference
43 | * MQTT - http://mqtt.org/
44 | * Apache ActiveMQ - https://activemq.apache.org/components/artemis/
45 | * Apache Cassandra - http://cassandra.apache.org/
46 | * Spring - https://spring.io/projects/spring-boot
47 | * JAAS - https://docs.oracle.com/javase/7/docs/technotes/guides/security/jaas/JAASLMDevGuide.html
48 |
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/GSoC-2019/Madhuri-VBMDAS.md:
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1 | # Project Name - Vision based machine drawing analyzing system (VBMDAS)
2 |
3 | ## Student Info
4 | - Name: Madhuri E.
5 | - Email: madurie7@gmail.com
6 | - GitHub Profile: https://github.com/made777
7 |
8 | ### Project Abstract
9 | The ultimate objective of this project is to develop an automated software system with a graphical user interface that can estimate the manufacturing cost and time based on machine drawings. Machine drawings are the standard procedure for providing precise details necessary for the engineering manufacturing processes of products. These machine drawings include dimensions, various symbols, and the 2-dimensional views, describing the geometry of the product.
10 |
11 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6230572819546112)
12 |
13 | ### [GSoC Project Proposal](https://docs.google.com/document/d/e/2PACX-1vTsQWAEQ_3Dy2ctLuV5D3AzwAAuF-_m7D2sscE1comOryg5FdMmb7mHBO7bJYXkcICPcnq6Vdh77iME/pub)
14 |
15 | ### [GitHub Organization Repo](https://github.com/scorelab/VBMDAS)
16 |
17 | ### [GitHub Personal Repo](https://github.com/made777/VBMDAS)
18 |
19 | ### [Commits during GSoC 2019](https://github.com/made777/VBMDAS/commits/master)
20 |
21 | ### [Project Demo Video](https://drive.google.com/file/d/1QlD8ZYDIbtjn5GLHdJ7TJbzqqPKRd78F/view?usp=sharing)
22 |
23 | ### [Project Wiki](http://github.com)
24 |
25 | ### [GSoC Blog](http://GSoCBlog)
26 |
27 | ### Work Summary
28 | For the GSoC 2019, I've worked on the design and implement an algorithm to vision based machine drawing analysis and implement UI design to user login and user management.
29 |
30 | ### What Covered
31 | - Design vision-based machine drawing analysis algorithm
32 | - Implement the vision-based machine drawing analysis algorithm
33 | - Test the algorithm using different sample drawings
34 | - Design and implement the UI
35 |
36 | ### What left
37 | - Unit Testing
38 |
39 | ### Reference
40 | https://opencv.org
41 | https://www.python.org
42 | https://palletsprojects.com/p/flask/
43 | https://reactjs.org
44 | https://semantic-ui.com
45 |
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/GSoC-2017/Achinthya_OpenPub_Publication_Manager.md:
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1 | # Project Name
2 | OpenPub - A publication manager for individuals and research groups
3 | ## Student Info
4 | Name: Achinthya Wijesekara University: Informatics Institute of Technology
5 | ### Project Abstract
6 | OpenPub is a publication manager for individuals and research groups to manage their publication references and also to share it with others.
7 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4887116654837760)
8 |
9 | ### [GSoC Project Proposal](http://LinikToYourGSoCProjectProposal)
10 |
11 | ### [GitHub Organization Repo](https://github.com/scorelab/OpenPub)
12 |
13 | ### [GitHub Personal Repo](https://github.com/achinthya94/OpenPub)
14 |
15 | ### [Commits during GSoC 2017](https://github.com/achinthya94/OpenPub/commits/master)
16 |
17 | ### [Project Demo Video](http://LinkToDemoVideo)
18 |
19 | ### [Project Wiki](http://github.com)
20 |
21 | ### [GSoC Blog](http://GSoCBlog)
22 |
23 | ### Work Summary
24 | This project was conducted in order to create a portal for individuals and research groups to manage their publication references. Development of this application was consist of two parts, one part has the public site where normal users can check the pulic publication lists and publications. Other part has the mechanism to create and update publications, publication lists and maintain their metadata information. Users can use their google credentials to login to the portal. Private publication lists can be maintained and also if needed they can be shared and the sharing status of the publication can be decided by publication wise and list wise.
25 | [Online Demo](https://openpub-41be7.firebaseapp.com/#/)
26 | ### What Covered
27 | * Implemented firebase authentication for google accounts
28 | * Integration of firease services
29 | * Implemented publication lists and publications
30 | * Implemented publication and publication list manipulation part
31 | * Implemented categorization and search functionalities
32 | * Implemented sharing feature for publications and publication lists
33 | ### What left
34 | * Need to create the feedback providing part
35 | ### Reference
36 |
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/GSoC-2019/dande9304-OpenIoE.md:
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1 | # Project Name
2 | OpenIoE - Implement User Interface for OpenIoE
3 |
4 | ## Student Info
5 | * Name - D.DE SILVA
6 | * Email - dande9304@gmail.com
7 | * GitHub profile - https://github.com/dande9304
8 |
9 | ### Project Abstract
10 | OpenIoE is an Open-source middleware platform for building, managing, and integrating connected products with the Internet of Everything. It is an association of individuals, procedure, information and things. Furthermore, it is also portrayed by sensor gadgets to distinguish measure and offer data for all associated open or private systems utilizing standard and restrictive conventions.
11 |
12 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5060091152171008)
13 |
14 | ### [GSoC Project Proposal](https://drive.google.com/file/d/1aDSZHR75WoEGbsusOjF_atk481grQpLg/view?usp=sharing)
15 |
16 | ### [GitHub Organization Repo](https://github.com/scorelab/OpenIoE)
17 |
18 | ### [GitHub Personal Repo](https://github.com/dande9304/OpenIoE)
19 |
20 | ### [Commits during GSoC 2019](https://github.com/dande9304/OpenIoE/commits/master)
21 |
22 | ### [Project Demo Video](http://LinkToDemoVideo)
23 |
24 | ### [Project Wiki](http://github.com)
25 |
26 | ### [GSoC Blog](http://GSoCBlog)
27 |
28 | ### Work Summary
29 |
30 | I have completed the following project goals.
31 |
32 | * Detach JHipster Angularjs frontend from OpenIoE.
33 | * Develop REACT frontend for OpenIoE.
34 | * Integrate JHipster API and IoE API for the frontend.
35 | * Do testing for frontend functionality.
36 |
37 | ### What Covered
38 |
39 | Covred the above project goals. For the REACT frontend developed the following.
40 |
41 | * Sign Up
42 | * Login
43 | * Home
44 | * Devices
45 | * Search
46 | * Profile
47 |
48 |
49 | ### What left
50 | * Need to complete testing for rendering.
51 | * Need to update documentation.
52 | * Need to optimize the code.
53 |
54 | ### Reference
55 | * OpenIOE - (https://github.com/scorelab/OpenIoE)
56 | * React Library - (https://reactjs.org)
57 | * React Guide - (https://frontarm.com/james-k-nelson/9-react-resources/)
58 | * JHipster API - (https://www.jhipster.tech/api-gateway/)
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/GSoC-2017/Namal_Jayasuriya_DroLa.md:
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1 | # DroLa
2 |
3 | ## Namal Jayasuriya
4 | e.n.jayasuriya@gmail.com
5 |
6 | ### Project Abstract
7 | A secure drone monitering system for a central authority Using LORA. Each drone has a externaly mounted unit on it. It transmit it's location and time in a secure way when it is flying.
8 |
9 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5995323712339968)
10 |
11 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1-pXsKezPtq4lK4zOukn4ZdbWuOBoAXDFYSu32KRCHws/edit?usp=sharing)
12 |
13 | ### [GitHub Organization Repo](https://github.com/scorelab/drola)
14 |
15 | ### [GitHub Personal Repo](https://github.com/NamalJayasuriya/drola)
16 |
17 | ### [Commits during GSoC 2017](https://github.com/NamalJayasuriya/drola/commits/master)
18 |
19 | ### [Project Demo Video](https://www.youtube.com/watch?v=1I--f2gv1WM&list=UUuT-aJUcxQLe6E5IRniEX6A&index=1)
20 |
21 | ### [Project Wiki](https://github.com/NamalJayasuriya/drola/wiki/Drola)
22 |
23 | ### Work Summary
24 |
25 | Built a secure drone monitering system. Central authority can monitor the locations of each registered drone in a secured way.(At the proposal I proposed RSA security but with the limitations of microcontroller hardware I implemented AES security algorithm for this project. According to the requirement AES is secure enough.)
26 |
27 | I built a server system and browser application to the Central authority.
28 |
29 | Designed a hardware unit and built the firmware for the end node.
30 |
31 | Design a secure and effient message protocol for the system.
32 |
33 |
34 | ### What Covered
35 |
36 | Web server and web client apllication to monitor drones.
37 |
38 | Api to get drone locations from serial port, decrypt them and send them to browser applications.
39 |
40 | End node Hardware module.
41 |
42 | End node Firmware.
43 |
44 | Base node Hardware module.
45 |
46 | An effient and secure message protocol.
47 |
48 |
49 | ### What left
50 |
51 | Trusted Key Zone implementation for End Node.
52 |
53 | Browser Application improvements.
54 |
55 | Key Generation and Key transformation(to end node trusted zones) tool for base Node.
56 |
57 | ### Reference
58 |
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/GSoC-2018/Dilantha_Wijayarathne-CLocal_GCP.md:
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1 | # Project Name
2 |
3 | Clocal-gcp
4 |
5 | ## Student Info
6 |
7 | - Name: Dilantha Prasanjith Wijayarathne
8 | - Email: dilantha.prasanjith111@gmail.com
9 | - University: Uva Wellassa University, Sri Lanka
10 | - GitHub Profile: https://github.com/dilantha111
11 | - LinkedIn Profile: https://www.linkedin.com/in/dilantha-prasanjith-9592188a/
12 |
13 | ### Project Abstract
14 |
15 | CLocal GCP is an local emulator to test or mock the Google Cloud Services without deploying into Google Cloud Platform, and provide easiness for developer by reducing the cost. Our goal is to have all GCP services possible local services into one single project and provide easiness to run a whole Google Cloud project locally. Currently project supports Cloud functions and Cloud storage to run locally.
16 |
17 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4920929088438272)
18 |
19 | ### [GSoC Project Proposal](https://drive.google.com/open?id=1s07MB3pbVVyQX4IaAEXs_WOA-EiUeeql)
20 |
21 | ### [GitHub Organization Repo](https://github.com/cloudlibz/clocal-gcp)
22 |
23 | ### [GitHub Personal Repo](https://github.com/dilantha111/clocal-gcp)
24 |
25 | ### [Commits during GSoC 2017](https://github.com/cloudlibz/clocal-gcp/commits/master)
26 |
27 | ### [Project Demo Video](https://www.youtube.com/playlist?list=PLi2oqUH-oH1dybmz0FzWSlQoLzqGg8nXY)
28 |
29 | ### [Project Wiki](https://github.com/cloudlibz/clocal-gcp/wiki)
30 |
31 | ### [GSoC Blog](https://medium.com/clocal)
32 |
33 | ### Work Summary
34 |
35 | For the GSoC 2018, I've initiated the project from the scratch and added two servies to emulate locally.
36 | Services added,
37 |
38 | - Cloud Functions
39 | - Cloud Storage
40 |
41 | ### What Covered
42 |
43 | For the Cloud functions CLI commands were covered for testing locally. And For the Cloud Storage Cli Commands and local API endpoints were covered for the storage buckets.
44 |
45 | ### What left
46 |
47 | Adding more Google Cloud services.
48 |
49 | ### Reference
50 |
51 | - [Google Cloud storage documentation](https://cloud.google.com/storage/)
52 | - [Google Cloud Functions documentation](https://cloud.google.com/functions/)
53 |
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/GSoC-2018/Gayashan_Bombuwala-Bassa_Mobile.md:
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1 | # Project Name
2 | Bassa mobile app
3 |
4 | ## Student Info
5 | - Name: Gayashan Bombuwala
6 | - Email: gayashanbc@gmail.com
7 | - University: Informatics Institute of Technology, Sri Lanka
8 | - GitHub Profile: https://github.com/gayashanbc
9 | - LinkedIn Profile: https://www.linkedin.com/in/gayashanbc/
10 |
11 | ### Project Abstract
12 | Bassa is automated download queue for the enterprise to take the best use of their internet bandwidth. It is capable of avoiding redundant downloads within an enterprise. Currently, users interact with Bassa using the Bassa web-app. The objective of this project is to design and implement a new mobile app for Bassa using the React Native stack.
13 |
14 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6521578305617920)
15 |
16 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1R_QtffE3AR8ZpmaH5BrryML3-F-Zm6C7Kiq9-SgjnWU/edit?usp=sharing)
17 |
18 | ### [GitHub Organization Repo](https://github.com/scorelab/Bassa-mobile)
19 |
20 | ### [GitHub Personal Repo](https://github.com/gayashanbc/Bassa-mobile)
21 |
22 | ### [Commits during GSoC 2018](https://github.com/scorelab/Bassa-mobile/commits?author=gayashanbc)
23 |
24 | ### [Project Demo Video](https://youtu.be/YtQtahyo3SE)
25 |
26 | ### [Project Wiki](https://github.com/gayashanbc/Bassa-mobile/wiki)
27 |
28 | ### [GSoC Blog](https://medium.com/@gayashanbc/gsoc-2018-summary-b628da48659)
29 |
30 | ### Work Summary
31 | - Implement Sign-In functionality
32 | - Implement Sign-Up workflow
33 | - Implement Completed Downloads and In Progress Downloads view and remove functionalities
34 | - Implement Add New Download Functionality
35 | - Implement View Quota Usage and Downloads Management Functionalities
36 | - Implement Push Notifications For Completed Downloads
37 | - Add Unit Tests
38 | - Implement Keep Me Signed-In Functionality
39 |
40 | ### What Covered
41 | Completed the all of the above mentioned tasks.
42 |
43 | ### What left
44 | - Test the application on iOS devices
45 |
46 | ### Reference
47 | - [React Native](https://facebook.github.io/react-native/)
48 | - [Redux](https://redux.js.org/)
49 | - [Jest](https://jestjs.io/)
50 | - [InVision](https://www.invisionapp.com/)
51 |
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/GSoC-2020/made777-Tor Scraper.md:
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1 | # Integrate Splash based website Crawler and Analysis Interface for Tor Scraper
2 |
3 | ## Student Info
4 |
5 | * Name - Madhuri
6 | * Email - madurie7@gmail.com
7 | * GitHub Profile - https://github.com/made777
8 |
9 | ### Project Abstract
10 | The Tor network is a volunteer-run system that helps make internet use more anonymous. Tor Scraper can crawl web pages hosted on the ToR network. At monument Tor Scraper only supports curl based and scrapy based crawlers. Splash is a lightweight, scriptable headless browser and it can extract web site structure and take live screenshots of the crawled site. Integrated splash crawler to Tor Scraper provides nice tree-based tor hidden service website structure analysis features.
11 |
12 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5262515887407104)
13 |
14 | ### [GSoC Project Proposal](https://drive.google.com/file/d/1NvIdHo_2DF4e5XCtwAlODrq9RHwKUw4w/view?usp=sharing)
15 |
16 | ### [GitHub Organization Repo](https://github.com/scorelab/TorScrapper)
17 |
18 | ### [GitHub Personal Repo](https://github.com/made777/TorScrapper)
19 |
20 | ### [Commits during GSoC 2020](https://github.com/scorelab/TorScrapper/commits/master)
21 |
22 | ### [Project Demo Video]()
23 |
24 | ### [GSoC Blog]()
25 |
26 | ### Work Summary
27 | Gsoc 2020 I implemented the web scraping functionality to render, interact and extract data from website. Also completed the screenshot capabilities and allow user to extract web site structures.
28 |
29 | ### What Covered
30 | Using scrapy-splash library intigreat splash to Tor Scraper scrapy crawler.
31 | * Implement slash parser
32 | * Store parse data in mariadb and elasticsearch
33 | * Design and Implement Flask API expose data to front-end
34 | * Design Analysis interface
35 | * Implement Tree based structure using ETE Toolkit
36 |
37 | ### What left
38 | * Unit testing need to be completed
39 | * Integrated testing need to be completed
40 | * Documentation needs to be updated
41 |
42 | ### Reference
43 | * [Splash](https://splash.readthedocs.io/en/stable/)
44 | * [ETE Toolkit - A Python framework for the analysis and visualization of trees](http://etetoolkit.org/)
45 | * [Tor Scraper](https://github.com/scorelab/tor-scraper)
46 |
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/GSoC-2022/06-Shahaab-Manzar-Codelabz-Project-Proposal.md:
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1 | # Project Name
2 | Codelabz - Frontend Improvement
3 |
4 | # Project Abstract
5 | Codelabz provides a platform that consists of guided tutorial which has been created by organizations for the users. Codelabz is developed using ReactJS, Material UI in the Front End, and Google Firebase in the backend. I made stories for the components and created the profile page. It is tested using cypress and is responsive.
6 |
7 | ## [GSoC Project Page]((https://dev.codelabz.io/))
8 |
9 | ## [GSoC Project Proposal](https://github.com/scorelab/Codelabz)
10 |
11 | ## [GitHub Organization Repo](https://github.com/scorelab/Codelabz)
12 |
13 | ## [GitHub Personal Repo](http://github.com/repo)
14 |
15 | ## [Commits during GSoC 2022](https://github.com/scorelab/Codelabz/pulls?q=is%3Apr+author%3Ashahaab+is%3Aclosed)
16 |
17 | ### Issue created:
18 | * Changing a component in Profile page #446
19 | * Profile component changes #441
20 | * Create stories for Credentials, Highlight & Description #320
21 | * Inconsistent 'Header Section' across various page #264
22 |
23 | ### PR's created:
24 | * Changes to profile component #442
25 | * Changes in user profile to make it responsive. #430
26 | * Initial user profile page #368
27 | * Testing for CardWithImage and CardWithoutImage #359
28 | * Testing for UserDetails #358
29 | * Testing for Switch Account Component #357
30 | * Testing the Social Icons component #356
31 | * Card components with stories #345
32 | * Add SocialIcons #341
33 | * Component for user details #340
34 |
35 | ## [Project Demo Video](https://youtu.be/ro7bVbgWIm4)
36 |
37 | ## [Project Wiki](https://github.com/scorelab/Codelabz/wiki/User-Profile)
38 |
39 | ## [GSoC Blog](http://GSoCBlog)
40 |
41 | # Work Summary
42 | I Worked on implementing the new UI for Codelabz. First converted all the UI to different components, created the stories for the compoenents. Implementing the component and writing the cypress test for them. integrating the component to the User Profile page.
43 |
44 | # What Covered
45 | * New UI
46 | * Created seperate components
47 | * Created the stories for the components
48 | * Writing cypress test for the components
49 | * Developed new pages
50 | * Learned Firebase, Storybook, Chromatic.
51 |
52 |
53 | # What left
54 | * Firebase for new components.
55 |
56 | #
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/GSoC-2020/Jiraiya665-TAF.md:
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1 | # TAF - Test Automation Framework
2 |
3 | ## Student Info
4 |
5 | * Name - Shashindra
6 | * Email - jiraiya665@gmail.com
7 | * GitHub Profile - https://github.com/jiraiya665
8 |
9 | ### Project Abstract
10 | TAF is a new Cloud-based Universal Test Automation Framework that mainly focuses on regression testing. So it will greatly improve the quality and performance of the software. TAF will also build on testing methodology independence. This is going to be a huge advantage because TAF will be a Universal framework that supports both agile and waterfall testing methodologies. It’s going to be a very user-friendly Cloud-based Universal Test Automation framework with lots of new features and functionalities.
11 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5444199161266176)
12 |
13 | ### [GSoC Project Proposal](https://drive.google.com/file/d/1WWG6c9WLu1SmswqvfnD1Hlf-plzHV6bs/view?usp=sharing)
14 |
15 | ### [GitHub Organization Repo](https://github.com/scorelab/TAF)
16 |
17 | ### [GitHub Personal Repo](https://github.com/jiraiya665/TAF)
18 |
19 | ### [Commits during GSoC 2020](https://github.com/scorelab/TAF/commits/master)
20 |
21 | ### [Project Demo Video]()
22 |
23 | ### [GSoC Blog]()
24 |
25 | ### Work Summary
26 | For GSOC 2020, I implemented the TAF system to provide the necessary actions of aubomation web driver, some bastic interactins between test layer. Furthermore TAF includes the advanced configurations and functions regarding the mechanism of the proposed solution. The TAF solution test automation work simplicity and the user can interfere scripting test cases, command executin of the test suite and review test reports.
27 |
28 | ### What Covered
29 | * Well-structured project design for High Maintainability and Readability of the Test Scripts
30 | * WebDriver connection functions implementation
31 | * Defining a Web page and its elements to a one class
32 | * External element object file (XML)
33 | * Separate Test level to write test cases
34 |
35 | ### What left
36 | * Cover more tests
37 | * Code optimization
38 | * Documentation
39 | ### Reference
40 | - [Aspire Systems](https://blog.aspiresys.com/testing/design-patterns-in-test-automation-world/)
41 | - [Automation Rhapsody](https://automationrhapsody.com/design-patterns-every-test-automation-engineer-should-know/)
42 | - [Seleniumhq.org](https://www.selenium.dev/documentation/en/)
43 |
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/GSoC-2020/Tharaka-Hewavitharana-Raven.md:
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1 | # Raven
2 |
3 | ## Student Info
4 |
5 | - Name - Tharaka Hewavitharana
6 | - Email - tharakaromesh@gmail.com
7 | - GitHub Profile - https://github.com/TRomesh
8 | - Medium - https://medium.com/@TRomesh
9 | - Twitter - [https://twitter.com/DTRomesh](DTRomesh)
10 |
11 | ### Project Abstract
12 |
13 | Raven is a cloud-native API monitoring tool to monitor the health of 3rd party APIs. APIs can be grouped by spaces. A target represents APIs to be monitored. Monitoring reports should be generated. The initial version will be based on AWS stack.
14 |
15 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5348611660972032)
16 |
17 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1lgqgHB3eu2uRn65qdu0wdA-GU4nE9YHEe_lmDGRaofo/edit?usp=sharing)
18 |
19 | ### [GitHub Organization Repo](https://github.com/leopardslab/raven)
20 |
21 | ### [GitHub Personal Repo](https://github.com/TRomesh/raven)
22 |
23 | ### [Commits during GSoC 2020](https://github.com/leopardslab/raven/commits)
24 |
25 | ### [Project Demo Video]()
26 |
27 | ### [GSoC Blog](https://medium.com/@TRomesh)
28 |
29 | ### Work Summary
30 |
31 | During the GSOC coding period, I have covered almost all of the milestones discussed with the mentors initially. The main tasks achieved were:
32 |
33 | - Requirement refinement with mentor
34 | - Designing the architecture
35 | - Creating Wireframes / User Interfaces (UI) for templates
36 | - Developing the web application with components
37 | - Documentation
38 |
39 | ### What Covered
40 |
41 | The following are the tasks I completed:
42 |
43 | - Adding Authentication and Authorization
44 | - Adding Authorization clients like Google and Github
45 | - Creating Spaces for gathering metrices for services
46 | - Defining and developing Metrics gathering packages
47 | - Implementing User interfaces for displaying metrics
48 | - Defining time(Schedules) based checks for Mesuring up-time/down-time
49 | - Implmenting package for corn jobs/ Scheduled checks
50 | - Implementing map view for Region wife checks and application deployments
51 |
52 | ### What left
53 |
54 | The following are the tasks that is remaning:
55 |
56 | - Deploying the application in mutiple regions
57 | - Conducting Regions wised checks
58 |
59 | ### Reference
60 |
61 | - https://github.com/cloudlibz/raven
62 | - https://golang.org/doc/
63 | - https://apex.sh/ping/
64 |
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/GSoC-2021/15-Shadow-CodeLabZ.md:
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1 | # Codelabz - Develop mobile application
2 |
3 | ## Student Info
4 | - Name - Hirantha Rathnayake
5 | - Email - mail@hirantha.xyz
6 | - GitHub Profile - [https://github.com/hiranthaR](https://github.com/hiranthaR)
7 | - LinkedIn - [https://www.linkedin.com/in/hirantha-rathnayake](https://www.linkedin.com/in/hirantha-rathnayake)
8 |
9 | # Project Abstract
10 |
11 | CodeLabz is a platform where the users can engage with online tutorials and the organizations can create tutorials for the users. The platform will be developed using ReactJS front end library, Flutter mobile and the back end will be developed using the Google Cloud Firestore and Google Firebase Real-Time database.
12 |
13 | ## [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6725559515611136)
14 |
15 | ## [GSoC Project Proposal]([http://LinikToYourGSoCProjectProposal](https://drive.google.com/file/d/1g7-nLQB8dIJrMfeM3Dko_y3QZ70Kbewd/view?usp=sharing))
16 |
17 | ## [GitHub Organization Repo web/backend](https://github.com/scorelab/Codelabz)
18 | ## [GitHub Organization Repo mobile](https://github.com/scorelab/Codelabz-Mobile)
19 |
20 | ## [GitHub Personal Repo web/backend](https://github.com/hiranthar/Codelabz)
21 | ## [GitHub Personal Repo mobile ](https://github.com/hiranthar/Codelabz-mobile)
22 |
23 | ## [Commits during GSoC 2021 web/backend](https://github.com/scorelab/Codelabz/commits?author=hiranthar)
24 | ## [Commits during GSoC 2021 mobile](https://github.com/scorelab/Codelabz-mobile/commits?author=hiranthar)
25 |
26 | ## [Project Demo Video](https://drive.google.com/file/d/13pyyDqhdqbJUJS976WHMR3zL1BzrAfqt/view?usp=sharing)
27 |
28 | ### [GSoC Blog](https://medium.com/scorelab)
29 |
30 | # Work Summary
31 | For GSoC 2021, I contributed to change ant design in to material design. then I contributed to codelabz Flutter mobile app with fully unbreaking architecture. there I used Domain driven design(DDD) pattern to implement it, and completed full authentication process, organization and profile.
32 |
33 |
34 | # What Covered
35 | - contribution to change ant design into material.
36 | - flutter app architecture
37 | - flutter app authentication process
38 | - flutter app home
39 | - flutter app organization
40 | - flutter app profile
41 |
42 | # What left
43 | - display profile
44 | - display organization
45 | - display tutorials
46 | - setting page
47 |
48 | # Reference
49 | - [Documentation | Flutter](https://flutter.dev/docs)
50 | - [Pub.dev](https://pub.dev)
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/GSoC-2020/Sashika-Nawarathne-LabelLab-Updating-the-mobile-application.md:
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1 | # LabelLab - Updating the mobile application
2 |
3 | ## Student Info
4 |
5 | - Name - Sashika Nawarathne
6 | - Email - hi@sashika.me
7 | - GitHub Profile - [https://github.com/cazci](https://github.com/cazci)
8 | - LinkedIn - [https://www.linkedin.com/in/sashika-nawarathne](https://www.linkedin.com/in/sashika-nawarathne)
9 | - Medium - [https://medium.com/@cazci269](https://medium.com/@cazci269)
10 |
11 | ### Project Abstract
12 |
13 | Labellab is an image labeling and classification tool for researchers. Currently, the mobile app supports image uploading and labeling. The goal of this year GSoC period is to update the image labeling tool, and integrate the model training feature.
14 |
15 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5971187101859840)
16 |
17 | ### [GSoC Project Proposal](https://drive.google.com/file/d/1O5n6OpGflQW3qKkxfwtSgPS_yYZVXVCd/view?usp=sharing)
18 |
19 | ### [GitHub Organization Repo](https://github.com/scorelab/LabelLab)
20 |
21 | ### [GitHub Personal Repo](https://github.com/cazci/LabelLab)
22 |
23 | ### [Commits during GSoC 2020](https://github.com/scorelab/LabelLab/commits?author=cazci)
24 |
25 | ### [Project Demo Video](https://drive.google.com/file/d/1MAYkxMkfxdY3EPKnS-cJhnf8eD4jJ-cw/view?usp=sharing)
26 |
27 | ### [GSoC Blog](https://medium.com/scorelab)
28 |
29 | ### Work Summary
30 |
31 | For GSoC 2020, I migrated the mobile app to the new flask backend and integrated new features. These features includes model training, image path tracking, versioning, admin features and image editing. Parallely, I implemented mobile app specific server handlers. I completed the coding period with project documentation and test updates.
32 |
33 | ### What Covered
34 |
35 | - Created the OpenAPI specification
36 | - Migrated the app to the new flask server
37 | - Implemented image path tracking feature
38 | - Updated multiple image uploading feature
39 | - Integrated image editing feature
40 | - Implemented project member management
41 | - Implemented model training feature
42 | - Updated image classification
43 | - Created server handlers
44 | - Implemented model versioning
45 | - Add widget tests
46 | - Updated the documentation
47 |
48 | ### What left
49 |
50 | - Tests have to be completed
51 |
52 | ### Reference
53 |
54 | - [Documentation | Flutter](https://flutter.dev/docs)
55 | - [Pub.dev](https://pub.dev)
56 | - [OpenAPI doc](https://swagger.io/specification)
57 |
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/GSoC-2022/18-pikulk-OpenXDR-GSoC-2022.md:
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1 | # OpenXDR GSoC 2022
2 |
3 | ## Project Abstract
4 | Detection time and response time are the major critical accepts of all detection and response systems. Considering the vast amount of system logs collectors, network logs collectors and external IOC systems bring vast amounts of data to process within a short amount of time and uncover the anomalies. Although this process should not be flooded with false positive alerts which we identified as alert fatigue. Considering processing vast amounts of boundless stream data and doing a less false positive detection rate is a system engineering challenge that should stand side by side with cybersecurity expert knowledge. Building state of the art systems required several major components divisions. There are Data Sources (IDS, sys logs, net logs, firewall logs, files) , External intelligence (IOC, SIEM), Processing and detection unit(s) (batch or streaming processing, deployed ML/DL models) , Data storages (databases, flat files, object storages) and visualizations (index, dashboards). Recreating each of above divisions are equivalent to reinventing the wheel, therefore openXDR focuses intergaterabiltiy to work with available tools out there which leads users to use existing systems without hassle but with the power of detection and response time of openXDR. In general, it seamlessly integrates with any EDR, NDR, SIEM, or IDS through a modular integrated architecture.
5 |
6 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/programs/2022/projects/B7KUMyWw)
7 |
8 | ### [GSoC Project Proposal](https://drive.google.com/file/d/1PJwZzdWDxqEuZg6WnjLX5uggoV-HDSkr/view?usp=drivesdk)
9 |
10 | ### [GitHub Organization Repo](https://github.com/scorelab/OpenXDR)
11 |
12 | ### [GitHub Personal Repo](https://github.com/piumalkulasekara/OpenXDR)
13 |
14 | ### [Commits during GSoC 2022](https://github.com/piumalkulasekara/OpenXDR/commits/node)
15 |
16 | ### [Project Demo Video](https://drive.google.com/file/d/1yG3OsZtywoqR5JWnnAvpp81tNCCuo7co/view?usp=drivesdk)
17 |
18 | ### [GSoC Blog](https://medium.com/scorelab/gsoc-2022-with-score-lab-2c0994907650)
19 |
20 | ## Work Summary And What Covered
21 |
22 | * Create few data collecting probes (EDR, NDR, ISD, SIEM one for each)
23 | * Create Flink stateful stream processing modules
24 | * Create a DB to retrieve processed historical data using mysql.
25 |
26 | ## What left
27 | * Create automatically setup scripts and create an interface to intergate with other datastores
28 |
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/GSoC-2018/Malith_Senaweera-OpenSNA.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 | OpenSNA
3 |
4 | ## Student Info
5 | * Name : Malith Senaweera
6 | * University : University of Colombo School of Computing, Sri Lanka.
7 | * Email : [malithsenaweera@gmail.com](mailto:malithsenaweera@gmail.com)
8 | * Github : [https://github.com/malithsen](https://github.com/malithsen)
9 | * Linkedin : [https://www.linkedin.com/in/malith-senaweera-697485b3](https://www.linkedin.com/in/malith-senaweera-697485b3)
10 |
11 | ### Project Abstract
12 |
13 | ### [GSoC Project Page](https://github.com/scorelab/opensna)
14 |
15 | ### [GSoC Project Proposal](https://storage.googleapis.com/summerofcode-prod.appspot.com/gsoc/core_project/doc/5959930809942016_1521988182_OpenSNA_Proposal.pdf?Expires=1534220344&GoogleAccessId=summerofcode-prod%40appspot.gserviceaccount.com&Signature=hsaZE1IrFEWRnuQFMmXYDv5UXYEOupRRjFzSoPo7Zc%2BVDcrjjCRNVSkDQY8LXzCbvmmRDc9IPfRZ0laJmIL%2BxTKraUBedE4OqHNapjxyp8ucPYGYi2YQGYXiQo5C0B4PN6bDKBZKt2wlPOatQV5zhcuNZoUv3H3J%2FgDgUIucdsTBGJvQ8KjQqissKT60sj2KAceuT5ssPp%2BlAOwtpn8FBW%2BlU8Mv%2FsfmK1eoGMhuphC%2B2GAPXaAPozxwu0WtzoEDjUZyBqZP7TYWuXISDQhXzQOFkfjFKcZ%2FlIhlrkPKR9MlS5HSJyVhhDEVAW4qKQbbJXuAJQenHR63H5BlScp%2BNg%3D%3D)
16 |
17 | ### [GitHub Organization Repo](https://github.com/scorelab/opensna)
18 |
19 | ### [GitHub Personal Repo](https://github.com/malithsen/opensna)
20 |
21 | ### [Commits during GSoC 2017](https://github.com/scorelab/OpenSNA/commits?author=malithsen)
22 |
23 | ### Work Summary
24 | Implemented a python toolkit from scratch to analyze social network data. This toolkit is capable of doing basic analysis of social network when given as a csv file. Further it is built with extendability in mind, and capable in easily integrating plugins to enhance its capabilities. As a PoC link prediction module has been integrated
25 |
26 | ### What Is Covered
27 | * Reading edge list of social media interactions as a csv
28 | * Read directed and undirected graphs
29 | * Integrate networkx for basic graph analysis
30 | * Link prediction module to predict links in a graph file via machine learning
31 | * Accompanying jupyter notebooks to explain the code
32 | * Adhere to pep8
33 | * Documentation
34 |
35 | ### What left
36 | * Visualizations
37 | * Implementation of filters to reduce data
38 | * More plugins
39 |
40 | ### Reference
41 | * [Snap](http://snap.stanford.edu/)
42 | * [NetworkX](https://networkx.github.io/)
43 | * [PEP8](https://www.python.org/dev/peps/pep-0008/)
44 | * [Gephi](https://gephi.org/)
45 |
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/GSoC-2020/Asitha-Indrajith-Community-Dictionary.md:
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1 | # Community Dictionary
2 |
3 | ## Student Info
4 |
5 | * Name - Asitha Indrajith
6 | * Email - asithaindrajithk9@gmail.com
7 | * GitHub Profile - AsithaIndrajith
8 | * Medium - https://medium.com/@asithaindrajithk9
9 | * Twitter -
10 |
11 | ### Project Abstract
12 | Community Dictionary (ComDict) is a crowdsourced online dictionary for multiple languages. Each head term in the dictionary is defined only in English and has meaning in multiple languages. Generally, each meaning contains examples, definitions, and likes count. Reactjs, redux, ant design, ElasticSearch/Algolia and Firebase/Firestore will be used to develop the system.
13 |
14 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4583207351091200)
15 |
16 | ### [GSoC Project Proposal](https://drive.google.com/file/d/1RGADWgPIi_TXoSmAa-OH4SsziPY8Btf7/view?usp=sharing)
17 |
18 | ### [GitHub Organization Repo](https://github.com/scorelab/com-dictionary)
19 |
20 | ### [GitHub Personal Repo](https://github.com/AsithaIndrajith/com-dictionary)
21 |
22 | ### [Commits during GSoC 2020](https://github.com/scorelab/com-dictionary/commits?author=AsithaIndrajith)
23 |
24 | ### [Project Demo Video](https://drive.google.com/file/d/10UryK6zbm7EIxeJmQqgkI0TmIekRimC7/view?usp=sharing)
25 |
26 | ### [GSoC Blog](https://medium.com/@asithaindrajithk9/gsoc-memories-c7eb39675e34)
27 |
28 | ### Work Summary
29 | Implement online multilingual dictionary as a web application. The application has two user levels, one for the guest users and the other one for the normal users. A database which is designing and implementing using Google Firebase realtime database. Anonymous/guest users have read but not write permissions. Authenticated users can write a new word meanings, comment, like, share and report. User authentication will be done through the Firebase authentication with social authentication. A text-based word searching mechanism implement using the Algolia search engine.
30 |
31 | ### What Covered
32 | * Designed a secure and structured database.
33 | * Developed a secure authentication system.
34 | * Adding, Commenting, liking, sharing and reporting word meanings.
35 |
36 | ### What left
37 | * Full-text search with ElasticSearch or Algolia
38 | * Pagination in some pages
39 |
40 | ### Reference
41 | 1. [React](https://reactjs.org/)
42 | 2. [Redux](https://redux.js.org/)
43 | 3. [react-redux-firebase](https://react-redux-firebase.com/)
44 | 4. [Live Demo](https://community-dictionary-dev.web.app/)
45 |
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/GSoC-2019/Tharaka-Romesh-NodeCloud.md:
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1 | # NodeCloud
2 |
3 | ## Student Info
4 |
5 | * Name - Tharaka Romesh Hewavitharana
6 | * Email - tharakaromesh@gmail.com
7 | * GitHub profile - https://github.com/TRomesh
8 | * Twitter - [@DTRomesh](https://twitter.com/DTRomesh)
9 |
10 | ### Project Abstract
11 |
12 | NodeCloud is a standard library to get a single API on the open cloud with multiple providers. Making open cloud easily accessible and managed. The proposed system would be improving the existing feature as well as adding new features and cloud providers.
13 |
14 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5556288790986752)
15 |
16 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1ForylQD_kBKUZQbO458xy91bT_LxoE1Z9GmCuz1SufY)
17 |
18 | ### [GitHub Organization Repo](https://github.com/cloudlibz/nodecloud-cli)
19 |
20 | ### [GitHub Personal Repo](https://github.com/TRomesh/nodecloud-cli)
21 |
22 | ### [Commits during GSoC 2019](https://github.com/cloudlibz/nodecloud-cli/commits/master?author=TRomesh)
23 |
24 | ### [Project Demo Video](https://www.youtube.com/watch?v=A8UAJluShPE)
25 |
26 | ### [GSoC Blog](https://medium.com/nodecloud)
27 |
28 | ### Work Summary
29 |
30 | For GSoC 2019 I've initiated the project nodecloud-cli from scratch and added support for AWS and Google cloud platform and Azure.
31 |
32 | nodeloud-cli support following services,
33 | - Compute
34 | - Identity Management
35 | - Network
36 | - Storage
37 |
38 | Along with development of CLI, I added documentation and unit tests in every week.
39 | Created tutorials.
40 |
41 |
42 | ### What Covered
43 |
44 | - Developed the CLI for compute, identity manamgement, network and storage services.
45 |
46 | 1. AWS
47 | - EC2
48 | - ECS
49 | - DynamoDB
50 | - RDs
51 | - S3
52 | - ELB
53 | 2. GCP
54 | - Compute
55 | - Datastore
56 | - Google Cloud DNS
57 | - Google Cloud Storage
58 |
59 | 3. Azure
60 | - Virtual Machine
61 |
62 |
63 | - Added unit tests for developed cli.
64 | - Added documentation for developed cli.
65 | - Created nodecloud-cli getting started tutorial.
66 |
67 | ### What left
68 |
69 | - Adding Pretty or beautify option for the cli.
70 | - Potential to add more cloud providers like Digital ocean, Ali cloud.
71 |
72 | ### Reference
73 |
74 | - [AWS and Google Cloud platform comparison](https://cloud.google.com/docs/compare/aws/)
75 | - [AWS JS SDK Documentation](http://docs.aws.amazon.com/AWSJavaScriptSDK/latest/AWS.html)
76 | - [Google Cloud platform Documentation](https://googlecloudplatform.github.io/google-cloud-node/)
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/GSoC-2020/Lakshyajeet-Dwivedee-Integrate-ML-module-for-LabelLab.md:
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1 | # Integrate ML module for LabelLab
2 |
3 | ## Student Info
4 |
5 | * Name - Lakshyajeet Dwivedee
6 | * Email - lakshyajeet22@gmail.com
7 | * GitHub Profile - https://github.com/laksh22
8 | * Medium - https://medium.com/@laksh22
9 | * Twitter - N/A
10 |
11 | ### Project Abstract
12 | LabelLab allows the user to upload images and label them using bounding boxes and polygons. Currently, there is no way for the user to build models using the labelled dataset which they have created. The goal of the project is to create a pipeline which allows the users to train classification models using the images which have been uploaded and labelled on LabelLab.
13 |
14 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6461961740484608)
15 |
16 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1AYSI_DJW0vCTyZJDI2K1D52CqQx2I2tbN3qMI2FLfDc/edit?usp=sharing)
17 |
18 | ### [GitHub Organization Repo](https://github.com/scorelab/LabelLab)
19 |
20 | ### [GitHub Personal Repo](https://github.com/laksh22/LabelLab)
21 |
22 | ### [Commits during GSoC 2020](https://github.com/scorelab/LabelLab/commits?author=laksh22)
23 |
24 | ### [Project Demo Video](https://drive.google.com/file/d/1aDg-hLbYx82OHQ9Jo8Da4S6jmpAsLQ_0/view?usp=sharing)
25 |
26 | ### [GSoC Blog](https://medium.com/@laksh22/gsoc-2020-weekly-summaries-1ffd22617051)
27 |
28 | ### Work Summary
29 | For GSoC 2020, I worked on adding a machine learning module to the LabelLab image annotation tool. This involved creating the client and server code for a dashboard which allows the user to create classification models. This dashboard also allows the user to train these models using the images which they have labelled using LabelLab. The user can then test the models and export them as well. For managing several models, a model management dashboard is also created through which the user can add, edit, or delete models.
30 |
31 | ### What Covered
32 | 1. Model management dashboard for adding, editing, deleting models
33 | 2. Sub-module for choosing labels to train on
34 | 3. Sub-module for choose image augmentation steps
35 | 4. Sub-module for training custom model
36 | 5. Sub-module for transfer learning
37 | 6. Sub-module for training an uploaded model
38 | 7. Sub-module for showing training accuracy and loss
39 | 8. Sub-module for testing a trained model
40 | 9. Sub-module for exporting a trained model in SavedModel, h5, and ONNX format
41 |
42 | ### What left
43 | 1. Adding tests
44 |
45 | ### Reference
46 | 1. [Tensorflow Keras API](https://www.tensorflow.org/api_docs/python/tf/keras)
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/GSoC-2017/Lasith_Niroshan_Implementing_An_Android_Application_For_Controlling_Drones.md:
--------------------------------------------------------------------------------
1 | ### Project Name
2 | Implementing an Android application for controlling Drones (DronePilot)
3 | ## Student Info
4 | Name : Lasith Niroshan
5 | E-mail : lasith2013.l2n@gmail.com
6 | University : University of Colombo School of Computing
7 | Course: Computer Science
8 | Year : 4th ( 4 year degree )
9 | Linkedin : [https://www.linkedin.com/in/lasithniro/](https://www.linkedin.com/in/lasithniro/)
10 | Github : [https://www.github.com/Lasith-Niro](https://www.github.com/Lasith-Niro)
11 | ### Project Abstract
12 | This is a project that is intended to support Public Health Inspector (PHI) to find and investigate “Dengue(mosquito) breeding sites in a given location.” Breeding of mosquitoes is becoming a severe issue in Sri Lanka and it is difficult to investigate the breeding places in urban areas mainly due to the height of the buildings. Currently PHI’s are investigating such locations by themselves where possible.
13 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/dashboard/project/4635528409382912/overview/)
14 | ### [GSoC Project Proposal](https://drive.google.com/open?id=0B4ICNAgNS8XcR3hBTGNnQ0R3MnM)
15 | ### [GitHub Organization Repo](https://github.com/scorelab/D4D---Drone-4-Dengue)
16 | ### [GitHub Personal Repo](https://github.com/Lasith-Niro/D4D---Drone-4-Dengue/)
17 | ### [Commits during GSoC 2017](https://github.com/scorelab/D4D---Drone-4-Dengue/commits/master?author=Lasith-Niro)
18 | ### [Project Demo Video](http://LinkToDemoVideo)
19 |
20 | ### [Project Wiki](https://github.com/scorelab/D4D---Drone-4-Dengue/wiki)
21 |
22 | ### [GSoC Blog](http://GSoCBlog)
23 |
24 | ### Work Summary
25 | D4D is about investigating dengue using drones. It contains both android application and web application. The android application is used to fly the drone and get data from it. The web application is used to mark the map and get data from the android app.
26 | ### What Covered
27 | * Implemented login for android application with firebase
28 | * Implemented registration for android application with firebase
29 | * Intregrated drone SDK with android app
30 | * Implemented image store with firebase storage.
31 | * Implemented image capturing function for androd app
32 | * Implemented image uploding function for web app
33 | * Implemented web application functions
34 | ### What left
35 | * Need to implement connection function for drone and android app
36 | * Need to implement classifiers on web application
37 | ### Reference
38 | [1] https://developer.dji.com/mobile-sdk/documentation/introduction/index.html
39 | [2] https://github.com/DJI-Mobile-SDK-Tutorials/Android-GSDemo-GoogleMap
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/GSoC-2017/Pasan_Gamaetige_Stackle.md:
--------------------------------------------------------------------------------
1 | # Stackle
2 |
3 | ## Student Info
4 | * Name : Pasan Missaka
5 | * Email : psn.missaka@gmail.com
6 | * GitHub Profile : https://github.com/psnmissaka
7 | * Country : Sri Lanka
8 | * University : University of Colombo School of Computing
9 |
10 |
11 | ### Project Abstract
12 | Stackle is an web communication portal aimed at providing Open Source organizations a platform to have discussions on their github projects and their issues. It provides Github intergration which allows adminstrator of an organization to create a forum thread for the particualr organization. Users signing in is able to view forums of the organizations they contribute to and engage in the forum discussions.
13 |
14 | ### [GSoC Project Page](http://LinikToYourGSoCProjectPage)
15 |
16 | ### [GSoC Project Proposal](https://goo.gl/QxGMjp)
17 |
18 | ### [GitHub Organization Repo](https://github.com/scorelab/Stackle)
19 |
20 | ### [GitHub Personal Repo](https://github.com/psnmissaka/Stackle)
21 |
22 | ### [Commits during GSoC 2017](https://github.com/scorelab/stackle/commits/master?author=psnmissaka)
23 |
24 | ### [Project Demo Video](http://LinkToDemoVideo)
25 |
26 | ### [Project Wiki](https://github.com/psnmissaka/Stackle/wiki)
27 |
28 | ### [GSoC Blog](http://GSoCBlog)
29 |
30 | ### Work Summary
31 | Stackle was built from the ground up as a project for Google Summer of Code 2017.
32 |
33 | I started with developing the back-end API which is consumed by the Stackle front-end. NodeJS is used to handle the back-end logic
34 | with the use of Express framework. The API is mostly used to store data and retrieve data from the MongoDB server.
35 | The front-end logic is developed using AngularJS. Front-end is designed to communicate with Stackle API and GitHub API to carry the business logic of the application.
36 |
37 | ### What Covered
38 |
39 | * The authentication and authorization of users through Auth0 for GitHub users.
40 | * Back-end API calls to get and store the data to the MongoDB (using mongoose)
41 | * Front-end logic to subscribe to organizations, create posts regarding issues, search for organizations, creating a stack instance for a organization, display posts (by organization, by user), comment on posts and voting posts and comments.
42 |
43 |
44 | ### What left
45 |
46 | * Notification handling mechanism
47 | * Enable Gitlab login
48 | * Sharing posts to social media
49 |
50 | ### Reference
51 |
52 | 1. [MongooseJS Documentation](http://mongoosejs.com/docs/guide.html)
53 | 2. [Routing with ExpressJS](http://expressjs.com/en/guide/routing.html)
54 | 3. [AngularJS](https://docs.angularjs.org/guide)
55 | 4. [GitHub API Documentation](https://developer.github.com/v3/)
56 |
57 |
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/GSoC-2019/Wolf-Legend-Androphsy(OpenMF).md:
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1 | # OpenMF - Redesign Androphsy(OpenMF) backend in Python
2 |
3 | ## Student Info
4 | - Name - Harish Ghunawat
5 | - Email - harish.ghunawat1@gmail.com
6 | - University - IIT Roorkee
7 | - Github Profile - [Wolf-Legend](https://github.com/wolf-legend)
8 | ### Project Abstract
9 | OpenMF is an Android forensic tool, developed in Python. OpenMF consists following features
10 | - Common Databases extraction
11 | - Data conversion tools (ex. db to csv)
12 | - Session records (handling multiple cases/projects)
13 | - Generating report of projects
14 | - Created light-weigth CLI for easily using these features
15 |
16 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5283093169045504)
17 |
18 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1KboOKdS9sBDcb8hceNKlclwB_QnAaOPFGVQHUC9cyg4/edit)
19 |
20 | ### [GitHub Organization Repo](https://github.com/scorelab)
21 |
22 | ### [GitHub Personal Repo](https://github.com/scorelab/OpenMF)
23 |
24 | ### [Commits during GSoC 2019](https://github.com/scorelab/OpenMF/commits?author=Wolf-Legend)
25 |
26 | ### [Project Demo Video](https://drive.google.com/open?id=1QALmBtviYctsFUktlHkdp_zHkuT48aFd)
27 |
28 | ### [Project Wiki](https://github.com/scorelab/OpenMF/wiki)
29 |
30 | ### Work Summary
31 | - Made project Cross-platform compatible
32 | - Make a basic python backend to access and acquire data
33 | from android and providing super-user access to user i.e.
34 | rooting the android device if it’s not already rooted
35 | - Added multi-user and multi-case support for the this basic
36 | backend
37 | - Report generation in generic html, txt and PDF reports formats at
38 | the end
39 | - Added support for sqlite for the database management of both user,case
40 | and for extraction and analysis of databases acquired from
41 | android
42 | - Created light-weight CLI for using these features
43 | - Written module for generation of basic report in neat
44 | templates
45 | - Tested the fully working python backend based
46 | Androphsy(OpenMF)
47 | ### What Covered
48 | 1. Basic Android forensic tool ready for use
49 | 2. Added multiple features required for handling data extraction and manipulation
50 | 3. Create module for report generation for particular case
51 | 4. Developed light-weight CLI for supporting these features in just one command
52 |
53 | ### What left
54 | 1. Implementing Web-view of this project (WIP)
55 | 2. Writing down blogs about how to use this project effectively
56 | 3. Adding support for database analysis algorithms
57 |
58 | ### Reference
59 | 1. “scorelab/ANDROPHSY”-https://github.com/scorelab/androphsy
60 | 2. Python
61 | 3. [pdfkit](https://github.com/JazzCore/python-pdfkit)
62 | 4. SQLite
63 | 5. ADB
64 |
--------------------------------------------------------------------------------
/GSoC-2022/17-Upalanka-K-OpenXDR-Real-time-Open-Source-Extended-Detection-and-Response-System.md:
--------------------------------------------------------------------------------
1 | # OpenXDR
2 |
3 | Real-time Open Source Extended Detection and Response System
4 |
5 | # Project Abstract
6 |
7 | OpenXDR is a real-time open source extended detection and response system. The extensibility of OpenXDR allows integration with existing detection systems. Hence, it can seamlessly integrate with various information security systems such as Endpoint detection and response (EDR) systems, Network Detection and Response (NDR) systems, Security information and event management (SIEM) systems, and Intrusion Detection Systems (IDS).
8 |
9 | ## [GSoC Project Page](https://summerofcode.withgoogle.com/programs/2022/projects/eW0iWrUd)
10 |
11 | ## [GSoC Project Proposal](https://drive.google.com/file/d/1KFvrdTrdvQJDWyhzFelsEaetnuzAjlPP/view?usp=sharing)
12 |
13 | ## [GitHub Organization Repo](https://github.com/scorelab/OpenXDR)
14 |
15 | ## [GitHub Personal Repo](https://github.com/UsefulAd1242/OpenXDR)
16 |
17 | ## [Commits during GSoC 2022](https://github.com/scorelab/OpenXDR/pulls?q=is%3Apr+author%3AUsefulAd1242)
18 |
19 | ## [Project Demo Video](https://drive.google.com/file/d/17lhtp4XyRmMW_jhqpySY1absgrqukbbo/view?usp=sharing)
20 |
21 | ## [Project Wiki](https://github.com/scorelab/OpenXDR/wiki)
22 |
23 | # Work Summary
24 |
25 | For the GSoC 2022, I've initiated the console implementation of the OpenXDR project from scratch and implemented the required functionality using proposed technologies. This required collaboratively implementing core modules of OpenXDR console that is vital for a minimal viable product. I have successfully initiated the project, engineered the user inferface and implemented core functionaly the the OpenXDR dash board to manage schemas, manage nodes and resource monitioring. Project work is carried out by following industry and open source standards.
26 |
27 | # What Covered
28 |
29 | * Designed OpenXDR dashboard and console UI flow and wireframes
30 | * Initialized React project and configured dependencies
31 | * Designed and implemented resource management(create, edit, delete) features
32 | * Designed and implemented front end user interfaces for log mangagement and monitoring functionality
33 | * Designed and implemented project overview inferface by compiling required information
34 | * Collaboratively designed OpenXDR server API
35 | * Integrated OpenXDR dashboard with backend services following OpenAPI standards
36 |
37 | # What left
38 |
39 | * Mobile device support for the implemented OpenXDR console
40 |
41 | # References
42 |
43 | - [React Documentation](https://reactjs.org/)
44 | - [Material UI Documentation](https://mui.com/)
45 | - [OpenAPI Sepcification](https://swagger.io/specification/)
--------------------------------------------------------------------------------
/GSoC-2018/Kavinda_Jayakody-OpenDF_Frontend_ReactJS.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 |
3 | OpenDF - Implement the frontend using ReactJS
4 |
5 | ## Student Info
6 |
7 | - Name - Kavinda Jayakody
8 | - E-mail - kavindajayakody@gmail.com
9 | - GitHub - github.com/kavinda1995
10 |
11 |
12 | ### Project Abstract
13 |
14 | OpenDF is a Open Source tool, which can be used for digital forensics investigations to make better by bringing related digital forensics processes such as managing investigation cases, managing and assigning investigators to investigations, storing and managing disk images, extracting data from disk images, note taking and reporting.into one solution.
15 |
16 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6747222734012416)
17 |
18 | ### [GSoC Project Proposal](https://storage.googleapis.com/summerofcode-prod.appspot.com/gsoc/core_project/doc/6493756178563072_1522166266_GSoC_2018_Project_Proposal_-_Kavinda_Niroshana_Jayakody.pdf?Expires=1534262906&GoogleAccessId=summerofcode-prod%40appspot.gserviceaccount.com&Signature=NXESYTJlx1Z9snPw6txs2mDNHLyOMmL6e%2FF6jIuVyd4V1ovMaS2tDL8aZmDRFuSE9i0Qyj%2BFjWm9UBgF0Cvf1HErIK1FHjN6ui%2Bo6LxJbwbyC9QTo9ukH3xTOu%2BSS3IU7zWkg5htr6lj66W26NnnOyIE%2F7ddp%2FOqxhn4Q2fGIUDgXqk6b0COxDllPPOHVyBY4pkmKbcsrIQ%2FgsIc%2FjRIJrFn51b8pAjIN2agmwtZGPDdK2Xsx8%2FzAeZ20S1MK5u%2FI%2Bj1Vc%2FLfPQrsUavPlOY1HaxPjCmneQigUuUt8ajDRyz6JKsWrAMcK4v8DCTj8XJ6%2FNy2Rg%2BcUUtKzV2kNLbUQ%3D%3D)
19 |
20 | ### [GitHub Organization Repo](https://github.com/scorelab/OpenDF)
21 |
22 | ### [GitHub Personal Repo](https://github.com/kavinda1995/OpenDF/tree/react-ui)
23 |
24 | ### [Commits during GSoC 2017](https://github.com/scorelab/OpenDF/commits/react-ui?author=kavinda1995)
25 |
26 | ### [Project Wiki](https://github.com/scorelab/OpenDF/wiki)
27 |
28 | ### Work Summary
29 |
30 | Continuing the existing code base for the react-ui and adding more components and functions.
31 |
32 | ### What Covered
33 |
34 | - Configured the Add New Project Form
35 | - Implemented a JSON RESTful server
36 | - Implemented saving a project to the JSON storage
37 | - Implemented File Upload Component
38 | - Implemented the View Project UI
39 | - Configured API calls for view a project
40 | - Implemented a toast service and component for the whole project
41 | - Refactoring the code base
42 |
43 |
44 | ### What left
45 |
46 | - Connect J2EE based API to the Add Project and File Upload
47 | - Implementing a auth service for the login
48 |
49 |
50 | ### Reference
51 |
52 | [1] [React Boiler Plate](https://github.com/react-boilerplate/react-boilerplate)
53 |
54 | [2] [Material UI](https://material-ui.com/)
55 |
56 | [3] [OpenDF Wiki](https://github.com/scorelab/OpenDF/wiki)
57 |
58 | [4] [JSON-Server](https://github.com/typicode/json-server)
59 |
--------------------------------------------------------------------------------
/GSoC-2017/Rajika_AbeyrathneNode_Cloud_Unified_API_For_Cloud_Providers.md:
--------------------------------------------------------------------------------
1 | # NodeCloud
2 |
3 | ## Student Info
4 |
5 | * Name - Rajika Imal Abeyrathne
6 | * Email - inbox.rajika@gmail.com
7 | * GitHub profile - https://github.com/rajikaimal
8 | * Twitter - @rajikaimal
9 |
10 | ### Project Abstract
11 |
12 | NodeCloud is an easy to use abstract API which will remove the burden of switching in between many libraries to use cloud related APIs. NodeCloud is a Node.js library which will integrate Google Cloud and AWS services under one hood. Even though the scope of the project is limited to Google Cloud and AWS, according to the flexible, plug-gable architecture it will be convenient to add more cloud providers in the future of this project.
13 |
14 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4601985251672064)
15 |
16 | ### [GSoC Project Proposal](https://drive.google.com/open?id=1_Tb42b9MjgEZcMxUkKvznn_QxCGuJnr--jts9pTi0fw)
17 |
18 | ### [GitHub Organization Repo](https://github.com/scorelab/nodecloud)
19 |
20 | ### [GitHub Personal Repo](https://github.com/rajikaimal/nodecloud)
21 |
22 | ### [Commits during GSoC 2017](https://github.com/scorelab/nodecloud/commits/master?author=rajikaimal)
23 |
24 | ### [Project Demo Video](https://www.youtube.com/playlist?list=PLOIyWoYcO107EfXZBqNUn49LjtodWLNbL)
25 |
26 | ### [Project Wiki](https://github.com/rajikaimal/nodecloud/wiki)
27 |
28 | ### [GSoC Blog](https://medium.com/nodecloud)
29 |
30 | ### Work Summary
31 |
32 | For GSoC 2017 I've initiated the project from scratch and added support for AWS and Google cloud platform (GCP).
33 |
34 | Support for following services were added,
35 | - Compute
36 | - Database
37 | - Network
38 | - Storage
39 |
40 | Along with development of APIs, I added documentation and unit tests in every week.
41 | Created tutorial series.
42 |
43 | ### What Covered
44 |
45 | - Developed APIs for compute, database, network and storage services.
46 |
47 | 1. AWS
48 | - EC2
49 | - ECS
50 | - DynamoDB
51 | - RDs
52 | - S3
53 | - ELB
54 | - EBS
55 | 2. GCP
56 | - Compute
57 | - Datastore
58 | - Google Cloud DNS
59 | - Google Cloud Storage
60 | - Google Persistent Disks
61 |
62 | - Added unit tests for developed APIs.
63 | - Added documentation for developed APIs.
64 | - Created NodeCloud getting started tutorial series.
65 |
66 | ### What left
67 |
68 | - Additional APIs can be added as improvements in next versions.
69 | - Potential to add more cloud providers.
70 |
71 | ### Reference
72 |
73 | - [AWS and Google Cloud platform comparison](https://cloud.google.com/docs/compare/aws/)
74 | - [AWS JS SDK Documentation](http://docs.aws.amazon.com/AWSJavaScriptSDK/latest/AWS.html)
75 | - [Google Cloud platform Documentation](https://googlecloudplatform.github.io/google-cloud-node/)
--------------------------------------------------------------------------------
/GSoC-2018/Shivam_Arora-Stackle_routes.md:
--------------------------------------------------------------------------------
1 | # STACKLE-Structure Routes
2 |
3 | ## Student Info
4 | * NAME - SHIVAM ARORA
5 | * EMAIL - shivamarora0902@gmail.com || shivam_arora@live.in
6 | * GITHUB PROFILE - https://github.com/shivamarora96
7 | * LINKEDIN PROFILE - https://www.linkedin.com/in/shivamarora96/
8 |
9 | ### Project Abstract
10 |
11 | Stackle is a web communication portal aimed at providing Open Source organizations a platform to have discussions on their GitHub projects and their issues. It provides GitHub integration which allows the administrator of an organization to create a forum thread for the particular organization. Users signing in are able to view forums of the organizations they contribute to and engage in the forum discussions.
12 |
13 |
14 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6404076187680768)
15 |
16 | ### [GSoC Project Proposal](https://drive.google.com/file/d/1U555NSbdzpjzd0PUouuiwLCP0hhKX_3j/view?usp=sharing)
17 |
18 | ### [GitHub Organization Repo](https://github.com/scorelab/Stackle)
19 |
20 | ### [GitHub Personal Repo](https://github.com/shivamarora96/stackle)
21 |
22 | ### [Commits during GSoC 2018](https://github.com/scorelab/Stackle/commits?author=shivamarora96)
23 |
24 | ### [Project Wiki](https://github.com/scorelab/Stackle/wiki)
25 |
26 | ### Work Summary
27 |
28 | During GSOC-2018, Structuring of routes has been implemented. Along With this, additional endpoints and functionalities have been added to the stackle application such as Post like, tag adding to posts, oAuth 2.0 github authentication, etc. Beside these implementations, testing of the application has also been carried out so as to make sure that the application would produce the desired responses.
29 |
30 | ### What Covered
31 |
32 | * Structuring of REST-APIs
33 | * Implemented Post like, dislike ; comments like, dislike functionalities
34 | * Added OAuth 2.0 Github Authentication to the Application.
35 | * Proper validation of every request and response.
36 | * Improved directory structure of the application.
37 | * Added additional endpoints for various functionalities.
38 | * Improving Code quality and readibility.
39 | * Enhance the structure of the APIs.
40 | * Proper Schema designing of the Models.
41 | * Implemented Comment and Reply Model from scratch.
42 | * Populating and connecting the relational Models and their respective REST-APIs JSON-data.
43 | * Testing of the API calls.
44 | * Beautify the code to improve readability.
45 |
46 |
47 | ### What left
48 | * Additional APIs can be added as improvements
49 | * Documentation
50 |
51 | ### Reference
52 | * [ExpressJS] (https://expressjs.com/en/4x/api.html)
53 | * [Mongoose] (http://mongoosejs.com/docs/guide.html)
54 | * [ES6] (http://es6-features.org/#Constants)
55 | * [NodeJS] (https://nodejs.org/en/docs/)
56 |
--------------------------------------------------------------------------------
/GSoC-2019/Amrita-Chaturvedi-NodeCloud.md:
--------------------------------------------------------------------------------
1 | # nodecloud-web
2 |
3 | ## Student Info
4 | * Name - Amrita Chaturvedi
5 | * Email - amritachaturvedi97@gmail.com
6 | * GitHub profile - https://github.com/amrita019
7 | * LinkedIn profile - https://www.linkedin.com/in/amritachaturvedi/
8 |
9 | ### Project Abstract
10 | NodeCloud is a standard library to get a single API on the open cloud with multiple providers. Making open cloud easily accessible and managed. The project aims to provides an interactive front end, where the user can access the capabilities of the SDK in a more convenient manner. It is containerized using docker.
11 |
12 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/organizations/6311825751146496/?sp-page=3#5550327141498880)
13 |
14 | ### [GSoC Project Proposal](https://drive.google.com/file/d/1AKE_maXt8oUFeeu9kc5rsaMDL1u_NKeX/view?usp=sharing)
15 |
16 | ### [GitHub Organization Repo](https://github.com/cloudlibz/nodecloud-web)
17 |
18 | ### [GitHub Personal Repo](https://github.com/amrita019/nodecloud-web)
19 |
20 | ### [Commits during GSoC 2019](https://github.com/cloudlibz/nodecloud-web/commits/master?author=amrita019)
21 |
22 | ### [Project Demo Video](https://youtu.be/pvWIgoqe4YY)
23 |
24 | ### [Project Wiki](https://github.com/cloudlibz/nodecloud-web/wiki)
25 |
26 | ### [GSoC Blog](https://medium.com/my-gsoc-diary-with-score-lab)
27 |
28 | ### Work Summary
29 | Developed a full-stack application for nodecloud. The server-end implemented in nodejs with express, was responsible for interacting with the database (using knexjs as SQL query builder), the nodecloud core sdk and it's plugins, namely nodecloud-azure-plugin, nodecloud-aws-plugin and nodecloud-gcp-plugin. The client-end implemented in react using redux, provided a user interactive dashboard.
30 |
31 | ### What Covered
32 | * Create local database and server to which the front-end will corrospond to.
33 | * Create UI Mockups
34 | * Create authentication module, consisting of Login and Signup options.
35 | * User authentication done through jsonwebtoken (jwt)
36 | * Create dashboard on frontend with functional Navbar, Sidebar and landing screen.
37 | * List down the currently running azure services
38 | * Add option to create Virtual Machine, Virtual Network, Database, Storage and Security
39 | * Add an option to delete running services
40 | * Write API documentation and project setup documentation
41 | * Write unit tests for different functions
42 |
43 | ### What left
44 | Component testing on client end
45 |
46 | ### After the GSoC
47 | I would like to take care of nodecloud-web repository and would continue to commit.
48 |
49 | ### Reference
50 | * [React JS](https://reactjs.org)
51 | * [Redux](https://redux.js.org)
52 | * [Node JS](https://nodejs.org/en/)
53 | * [Express JS](https://expressjs.com)
54 | * [Knex JS](http://knexjs.org/)
55 |
--------------------------------------------------------------------------------
/GSoC-2019/Dilina-Dehigama-DroneSym.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 | DroneSym
3 |
4 | ## Student Info
5 | * Name : Dilina Dehigama
6 | * Email : [nisalya@gmail.com](mailto:nisalya@gmail.com)
7 | * Github : [https://github.com/dilinade](https://github.com/dilinade)
8 | * Linkedin : [https://www.linkedin.com/in/dililime](https://www.linkedin.com/in/dililime)
9 | * Institute : University of Colombo School of Computing, Sri Lanka.
10 |
11 | ### Project Abstract
12 | DroneSym is a web-based platform which focuses on controlling drone fleets realtime. Users will have the functionality to add new drones, configure their flight paths and monitor their progress through a web dashboard.
13 |
14 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5676994551873536)
15 |
16 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1waLe_IAlFlILBxYfvEgsPhEoLxCjYdVCMbMSWg_DbxM/edit?usp=sharing)
17 |
18 | ### [GitHub Organization Repo](https://github.com/scorelab/DroneSym)
19 |
20 | ### [GitHub Personal Repo](https://github.com/dilinade/DroneSym)
21 |
22 | ### [Commits during GSoC 2019](https://github.com/scorelab/DroneSym/commits?author=dilinade)
23 |
24 | ### [Project Demo Video](https://youtu.be/LpLTJS8BuG4)
25 |
26 | ### [Project Wiki](https://github.com/dilinade/DroneSym/wiki)
27 |
28 | ### Work Summary
29 | For GSoC 2019, I mainly focused on database migration from Firebase. Migrated all functions to MongoDB ChangeStreams which provides the realtime capability and tested with proper test-cases. As per the next phase I did fix existed bugs with both the Python & NodeJS back-end, Identified major vulnerabilities of the system and made it to a deployable output by dockerizing the project while making the project a Progressive Web Application (PWA). Finally documented the project which matches to the current status of the project.
30 |
31 | ### What Covered
32 |
33 | Things which I have covered in GSoC 2019
34 |
35 | - Research on FOSS realtime databases giving considerations to performance and licence
36 | - Migration of database from Firebase
37 | - Test newly migrated database with test cases
38 | - Identify , fix active issues/potential bugs & vulnerabilities of the project
39 | - Producing a deployable output
40 | - Dockerize the project.
41 | - Make DroneSym a Progressive Web Application (PWA)
42 | - Write documentation
43 |
44 | ### What left
45 |
46 | - UI/UX Improvements
47 | - Release & Deployment of DroneSym
48 |
49 |
50 | ### Reference
51 | 1. [Official MongoDB Manual](https://docs.mongodb.com/manual/)
52 | 2. [Python Documentation](https://docs.python.org/3/)
53 | 3. [Python language implementation of DroneKit](https://github.com/dronekit/dronekit-python)
54 | 4. [Gatsby Documentation](https://gatsbyjs.org/docs/quick-start/)
55 | 5. [Official Docker Documentation](https://docs.docker.com/)
56 |
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/GSoC-2017/Pasan_Ranathunga_Rewriting_OpenDF_Frontend_Using_React.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 |
3 | Rewriting OpenDF frontend using React
4 |
5 | ## Student Info
6 |
7 | - Name - Pasan Ranathunga
8 | - E-mail - pmartz92@gmail.com
9 | - GitHub - github.com/PMArtz92
10 |
11 | ### Project Abstract
12 |
13 | Most digital forensics tools are just command line tools. These kind of command line tools are not user friendly and have a huge learning curves. OpenDF is cloud based digital forensics tool to make cyber crime investigation more efficient and effective. OpenDF is an effort to build an Open Source tool to help Digital Forensics Investigations by bringing all the related processes in digital forensics into one complete solution. For instance, Managing investigation cases, managing and assigning investigators to investigations, storing and managing disk images, extracting data from disk images, note taking and reporting.
14 |
15 |
16 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4518119103004672)
17 |
18 | ### [GSoC Project Proposal](https://storage.googleapis.com/summerofcode-prod.appspot.com/gsoc/core_project/doc/5283723223236608_1491231407_RewritingOpenDFfrontendusingReact_pasan_ranathunga.pdf?Expires=1504680139&GoogleAccessId=summerofcode-prod%40appspot.gserviceaccount.com&Signature=WQGDKf%2BFx98f%2BHhGu44JbY7oggH0gtRoRby4DHLd4%2FbSQn9bz1xh0hB98TcsdXD%2FAwuMmZFvmEuhV1CHMYlZRNYzeCUuTHBvdpxEs3QV7o6h2GnYaAmjc6yBwHceYZUNQ%2FadmFIPIsUE8L2xx%2BHB%2F2eLrYr6arknVlpaP12EfzLMwcuwNBh4z7eWf%2FcVIy5XYqOkSidrMokWLaJmimRGPstT09axggTcZ5NWwqnU%2BiIFheCtb7NUplzhWaf7USpck0IzqPLkBPFX9jNsmpBtxhKJYEMhOlt%2FTmKEyzSbylVcL3S4ieC0OnflRhyLwGrpkzcneeXSvBAQM4TNNRuIJA%3D%3D)
19 |
20 | ### [GitHub Organization Repo](https://github.com/scorelab/OpenDF)
21 |
22 | ### [GitHub Personal Repo](https://github.com/PMArtz92/OpenDF)
23 |
24 | ### [Commits during GSoC 2017](https://github.com/scorelab/OpenDF/commits/react-ui?author=pmartz92)
25 |
26 | ### [Project Wiki](https://github.com/scorelab/OpenDF/wiki)
27 |
28 |
29 | ### Work Summary
30 |
31 | Rewrite currect Angular front end using ReactJs. Used [react-boilerplate](https://github.com/react-boilerplate/react-boilerplate) as the base of the project.
32 |
33 | ### What Covered
34 | - Implement an Admin dashboad
35 | - Implement Project View UI
36 | - Implemented Add Project UI
37 | - Implemented Investigator view UI
38 | - Implemented Add Investigator view UI
39 | - Implemented User Settings UI
40 | - Used Material UI as the theme
41 | - Apply Material Grid to maintain the layout
42 | ### What left
43 |
44 | - Connect API to Project View UI
45 | - Implement Current Process UI
46 |
47 | ### Reference
48 |
49 | [1] [React Boiler Plate](https://github.com/react-boilerplate/react-boilerplate)
50 | [2] [Material UI](http://www.material-ui.com)
51 | [3] [Material Grid](https://github.com/roylee0704/react-flexbox-grid)
52 |
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/GSoC-2020/Lakindu-Akash-Bug-Zero-gateway.md:
--------------------------------------------------------------------------------
1 | # Bug Zero gateway by Lakindu Akash
2 |
3 | ## Student Info
4 |
5 | * Name - Lakindu Akash
6 | * Email - lakinduakash@gmail.com
7 | * GitHub Profile - https://github.com/lakinduakash
8 | * Medium - https://medium.com/@lakinduakash
9 | * Twitter - [@lakinduakash](https://twitter.com/lakinduakash)
10 |
11 | ### Project Abstract
12 |
13 | While bug bounty programs (Such as Bug Zero) are running, organizations may want to expose their system to the outer public (Hackers) to explore the system and capture the vulnerabilities as much as they can. This process is too old and less manipulatable for the bug bounty platform. And considering the security exposing a vulnerable system via public cyberspace can be much worse, even the organization is letting access to a sandboxed environment. Tracking the hacker’s activities, controlling the user levels of the exposed system, monitoring who is accessing it, are still remaining questions on bounty hunting platforms.
14 |
15 | #### Project goals
16 |
17 | Giving a VPN gateway to connect the hacker and the organization via a VPN to address all the remaining questions which I pointed above.
18 | Implement an open-source reusable and scalable VPN gateway for bug bounty platforms in order to answer all questions above.
19 |
20 |
21 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5072594765611008)
22 |
23 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1EaNYNpOtgcpeXXvsl0YM0rvAXhugV_3Uqxnq2NXoq4c/edit?usp=sharing)
24 |
25 | ### [GitHub Organization Repo](https://github.com/bug-zero/bugzero-gateway)
26 |
27 | ### [GitHub Personal Repo](https://github.com/lakinduakash/bugzero-gateway)
28 |
29 | ### [Commits during GSoC 2020](https://github.com/bug-zero/bugzero-gateway/commits?author=lakinduakash)
30 |
31 | ### [Project Demo Video](https://youtu.be/yVDkD6LIkBI)
32 |
33 | [](https://youtu.be/yVDkD6LIkBI)
34 |
35 | ### [GSoC Blog](https://medium.com/scorelab/gsoc-with-scorelab-2020-85bb68602183)
36 |
37 | ### Work Summary
38 |
39 | - VPN server and client implementaion
40 | - Automatation scripts to create VPN server
41 | - API to control the VPN access
42 | - [Project's Wiki](https://github.com/bug-zero/bugzero-gateway/wiki)
43 |
44 | ### What Covered
45 |
46 | - Implemeted creating and automating the VPN server
47 | - Added certificate and token based authentication for clients
48 | - Add client configuration scripts for Ubuntu and Android
49 | - Implement the API for controling client access to the VPN server
50 | - Dockerized the API
51 | - [Documentation (Wiki)](https://github.com/bug-zero/bugzero-gateway/wiki)
52 |
53 | ### What left
54 | - Filtering VPN logs by users and other critarias
55 |
56 | ### Reference
57 |
58 | - [StrongSwan](https://www.strongswan.org/)
59 |
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/GSoC-2019/Pawan-Bhadu-Bassa.md:
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1 | # Bassa : Making installation of Bassa and containerize in a better way with efficient file storage server
2 |
3 | ## Student Info
4 | - Name : Pawan Bhadu
5 | - Email : bhadup21@gmail.com
6 | - University : Indian Institute of Technology, Roorkee
7 | - GitHub handle : https://github.com/demon-36
8 | - LinkedIn profile : https://www.linkedin.com/in/pbhadu21/
9 |
10 | ### Project Abstract
11 | Bassa is an automated download queue web-app. Bassa has been integrated with an open source storage server(Minio) and its file management system is improved than before, further Minio can be deployed as cloud storage server for Bassa, containerization of Bassa is also done using Docker and Docker-compose and Bassa containers can be deployed over Kubernetes for enterprise uses.
12 |
13 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4681470927437824)
14 |
15 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1_GQbaL_MGeXCg68zDb2vCcv8vj3vowemhWKLhI68M2s/edit?usp=sharing)
16 |
17 | ### [GitHub Organization Repo](https://github.com/scorelab/Bassa)
18 |
19 | ### [GitHub Personal Repo](https://github.com/demon-36/Bassa)
20 |
21 | ### [Commits during GSoC 2019](https://github.com/scorelab/Bassa/pulls?q=is%3Apr+author%3Ademon-36+label%3AGSoC-2019)
22 |
23 | ### [Project Demo Video](https://drive.google.com/file/d/12jMXkuwwNm22M4EdkRNmEChoyIiPRf_o/view?usp=sharing)
24 |
25 | ### [Project Wiki](https://github.com/scorelab/Bassa/wiki)
26 |
27 | ### [GSoC Blog](https://gist.github.com/demon-36/f9004033446730a08b683abaa98f370f)
28 |
29 | ### Work Summary
30 | Integrated an open source storage server(Minio) with Bassa for efficient file management which will have many functionality like file uploading, downloading, sharing and it can process files having size upto 5Tb individually. Fixed some UI issues faced during project, updated installation scripts and documentation of Bassa and worked on containerization of Bassa and wrote configuration files of Minio for Kubernetes deployment.
31 |
32 | ### What Covered
33 | 1. Integrated file storage server with Bassa
34 | 2. Updated installation scripts of Bassa for installation on various OS flavors
35 | 3. Fixed UI issues of Bassa which were disturbing work flow
36 | 4. Tested and updated Dockerfiles for Bassa API and Minio
37 | 5. Tested and updated Docker-compose for Minio integration
38 | 6. Updated documentation of Bassa
39 | 7. Composed kubernetes configuration file for Minio
40 |
41 | ### What left/ After GSoC
42 | 1. Testing and optimization of Kubernetes configurations
43 | 2. Testing deployment of bassa over kubernetes cluster.
44 |
45 | ### Reference
46 | - [Minio storage server](https://github.com/minio/minio)
47 | - [Kubernetes](https://kubernetes.io/docs/home/)
48 | - [GSoC LogBook](https://docs.google.com/document/d/13U4HWiwgRoUPLc6zr5opkv1D6Hi1TDZWKct_GKlsv_0/edit?usp=sharing)
49 |
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/GSoC-2018/Dinith_Minura-GoSocial_Common_template.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 |
3 | ## Student Info
4 |
5 | * Name - Dinith Minura
6 | * Email - dinithminura@gmail.com
7 | * University - University of Colombo School of Computing, Sri Lanka
8 | * GitHub profile - https://github.com/dinithminura
9 | * LinkedIn profile - https://lk.linkedin.com/in/dinithminura
10 |
11 | ### Project Abstract
12 |
13 | Community of today used to use mobile phones to make their life easier and Community based mobile applications are famous among them. There are several kind of community based applications in use and most of them are relating to a specific domain. But core components have similar features. Address this issue and saving development time by Introducing a common app template with customizable components for community based mobile applications , is the main purpose of this project.
14 |
15 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4567744129794048)
16 |
17 | ### [GSoC Project Proposal](https://storage.googleapis.com/summerofcode-prod.appspot.com/gsoc/core_project/doc/5911919171993600_1522150743_Dinith_MInura_-_Common_app_template_to_Go_Social_-_React_Native.pdf?Expires=1534315574&GoogleAccessId=summerofcode-prod%40appspot.gserviceaccount.com&Signature=Bz8eYQ9OPkx0Bskou26qRH2ljjW2riWL%2FVpkIat4Sk%2FBVfEiOe0kNpetduFL5LuHHZPQGJkM99dN%2BD2cB%2FVTJNPKiJpRIHLNr5c4XL0C76fA0ftaCruW7m8K1Q99hD3hIlVOMChjkJUArypq1mof%2F745JO2gLRdqkbUlvAUiJiY7q7R6bDmOU%2F%2FJYZpohHIO4%2BEYk%2Fk97kBXXdE5C%2Bp4yZdvfGUX%2FdGLrOcQiE925jZdp7tI6mqNsXU12JwMlLs%2BRyIGym05hR8zsPVufod%2FH%2FDcHELxxLn5Vz1wIgEKZlNW7khmdc4mtfJj%2FvxdRDCw4cPsB6IoqVB6iXlBRrzyZw%3D%3D)
18 |
19 | ### [GitHub Organization Repo](https://github.com/scorelab/Go-social)
20 |
21 | ### [GitHub Personal Repo](https://github.com/dinithminura/Go-social)
22 |
23 | ### [Commits during GSoC 2018](https://github.com/dinithminura/Go-social/commits/masters)
24 |
25 |
26 |
27 |
28 |
29 | ### [GSoC Blog](https://medium.com/@dinithminura/)
30 |
31 | ### Work Summary
32 |
33 | Implemented the React Native Common application platform for Community based Social applications. This application can use as a starter kit for a any kind of social application which mainly focusing on sharing news or posts, chat with members and location sharing features.
34 |
35 | ### What Covered
36 |
37 | Implemented All the basic UI components and Pages according to the Proposal
38 |
39 | ### What left
40 |
41 | Intigration of Firebase and Google map is pending
42 |
43 | ### Reference
44 |
45 | - [Build native mobile apps using JavaScript and React](https://facebook.github.io/react-native/)
46 | - [Routing and navigation for your React Native apps](https://reactnavigation.org/)
47 | - [Customizable Icons for React Native](https://github.com/oblador/react-native-vector-icons)
--------------------------------------------------------------------------------
/GSoC-2019/Anmol-Bansal-Fact-Bounty.md:
--------------------------------------------------------------------------------
1 | # Fact Bounty
2 |
3 | ## Student Info
4 | - Name: Anmol Bansal
5 | - Email: abansal@ec.iitr.ac.in
6 | - University: Indian Institute of Technology Roorkee, India
7 | - GitHub Profile: https://github.com/anmolbansal1
8 | - LinkedIn Profile: https://www.linkedin.com/in/anmol-bansal-557b05149/
9 |
10 | ### Project Abstract
11 | The Fact-Bounty project is a crowd-driven fact-checking platform. Fact-Bounty tries to minimise this chaos by spreading awareness among people on the authenticity of a news item.
12 |
13 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5027395176759296)
14 |
15 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1UBCcAJQz4i5z3QLdfnBKEj9wxNtIzrhiRLMWp47z-eA/edit?usp=sharing)
16 |
17 | ### [GitHub Organization Repo](https://github.com/scorelab/fact-Bounty)
18 |
19 | ### [GitHub Personal Repo](https://github.com/anmolbansal1/fact-Bounty)
20 |
21 | ### [Commits during GSoC 2018](https://github.com/scorelab/fact-Bounty/commits?author=Anmolbansal1)
22 |
23 | ### [Project Demo Video](http://LinkToDemoVideo)
24 |
25 | ### [Project Wiki](https://github.com/scorelab/fact-Bounty/wiki)
26 |
27 | ### [GSoC Blog](http://GSoCBlog)
28 |
29 | ### Work Summary
30 | For the GSoC 2019, I've worked on flask API and scrapy crawlers of this project.
31 | - Refactored the flask server to make it more scalable and more consistent
32 | - Restructured the API to make it easier to add more features to it later
33 | - Re-instantiated crawlers project and write crawlers for 13 news websites
34 | - Set elasticsearch pipeline to plug all fetched data from crawlers directly to database
35 | - Add scheduler feature to scrapy to allow crawlers to run after a regular period
36 | - Add system to only crawl today's news from websites
37 | - Add SMTP server to the application to allow mailing and use contact_us form
38 | - Add new env variables to flask app to make it more scalable
39 | - Implement GitHub pre-commit hook in the flask to allow code convention consistency in project
40 | - Update flask utilization of access token to make API more flexible
41 | - Made the flask server to utilize refresh tokens and new routes corresponding to it
42 | - Improve error handling of various routes
43 | - Create new voting API utility to allow users to vote news articles
44 | - Add new routes fetch particular story and search among stories
45 | - Change date column format in crawlers to allow kibana to generate visualizations in kibana
46 | - Add new script to run all crawlers simultaneously
47 |
48 | ### What Covered
49 |
50 | ### What left
51 | Adding the ability to automtically cluster fake news with the help of machine learning techniques.
52 |
53 | ### Reference
54 | - [API Documentation | Elasticsearch Python](https://elasticsearch-py.readthedocs.io/en/master/)
55 | - [Scrapy Documentation](https://docs.scrapy.org/en/latest)
56 |
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/GSoC-2017/Hasanga_Somaratne_DroneSym.md:
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1 | # Project Name
2 | DroneSym - A realtime drone monitoring and controlling app
3 | ## Student Info
4 | Name : Hasanga Somaratne
5 | University : University of Colombo School of Computing
6 | E-Mail : hasanga.charaka@gmail.com
7 | ### Project Abstract
8 | DroneSym is a web app that allows simulating drone fleets and monitoring them in real time. Users are able to create new drone simulators, assign them a flightpath and issue commands.
9 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4778065891688448)
10 | ### [GSoC Project Proposal](https://storage.googleapis.com/summerofcode-prod.appspot.com/gsoc/core_project/doc/5790014544805888_1490973150_GSoCDroneSymproposal.pdf?Expires=1503543676&GoogleAccessId=summerofcode-prod%40appspot.gserviceaccount.com&Signature=QvzhHhqVfYgwJnXfLosEuA9wlovFYfhbdEkmt%2BAMhKAPO%2FVwnA6QJdAlckrdn9cb2DvznB0pIBtxud9dtzYo2dM9nPpYLYjvKSNqI3Hpzesp8TPYvBBk36yACqSiYaJrWXtYv5U8WY1%2B%2FQVU52F5XZqTi%2BN2AJJFnPiaXI73CDoYp16dHGfWuQUVwoS2eUNqx9OG9b0I8wKm%2Bb6CEKMBZuQD8G8hFFgegJ6raSZaMf0MwrLMO9ywjNR66eAGgRmuF5mte0hlONPb78sIg1xU7A1baIauOWwxZl%2FbTgw5JQwrtr8ge8fUyyRB%2BfREMDCZA8MHIJhC6Dv420JljH76MQ%3D%3D)
11 | ### [GitHub Organization Repo](https://github.com/scorelab/DroneSym)
12 | ### [GitHub Personal Repo](https://github.com/hasa93/DroneSym)
13 | ### [Commits during GSoC 2017](https://github.com/scorelab/DroneSym/commits?author=hasa93)
14 | ### [Project Demo Video](https://drive.google.com/file/d/0B0xVuKx6qWJJQ0N1MTIyVXRValE/view?usp=sharing)
15 |
16 | ### [Project Wiki](https://github.com/hasa93/DroneSym/wiki)
17 |
18 | ### [GSoC Blog](http://GSoCBlog)
19 |
20 | ### Work Summary
21 | DroneSym is a project started from scratch. As for now the drones controlled and monitored are simulations run through Dronekit-SITL module. The developing work on project required backend to handle user management, drone fleet management and real-time communication with simulated drone instances. On the frontend a dashboard and a map displaying drones is implemented. All communications with drones needs to be in real-time therefore websockets and real-time databases are needed to address the requirement.
22 |
23 | ### What Covered
24 | - Create a Flask API providing an interface to Dronekit and Dronekit-SITL modules
25 | - Implemented websocket channels for real-time communications through Socket.io and Firebase real-time database
26 | - Implemented a REST API to interface between Flask API and Frontend
27 | - Implemented JWT authentication and role based authorization
28 | - Implemented the frontend user interface with Angular 2
29 |
30 | ### What left
31 | - Add a user management module to create user groups and assigning them to drone groups
32 | - Implement an abstract data-layer on top of Firebase and MongoDB
33 | - Implement MAV commands routes to change airspeed and altitude
34 |
35 | ### Reference
36 | [Dronekit Python API Reference](http://python.dronekit.io/automodule.html)
--------------------------------------------------------------------------------
/GSoC-2022/08-Takeshii-CrawlerX-Web.md:
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1 | # CrawlerX - Web
2 |
3 | ## Student Info
4 | * Name - Takeshi Thanushika Kalingumuni De Silva
5 | * Email - takeshi.desilva73@gmail.com
6 | * GitHub Profile - https://github.com/dizzysilva
7 |
8 | # Project Abstract
9 |
10 | The CrawlerX is a platform that we can use to crawl web URLs in a distributed fashion with different types of protocols. Web scraping, commonly referred to as web scraping, is a method of programmatically traversing a collection of web pages and extracting data, which is useful for data analysis using web-based data. Using a web crawler, you can mine data about a set of products, get lots of textual or quantitative data to use, get data from sites that don't have an official API, or just satisfy your own personal curiosity. However, with the existing implementation, it has a very bad user experience to place or schedule crawl jobs and some UIs are not very user friendly. As defined in project ideas on the organization site, this proposal has provided a new theme for CrawlerX end-users.
11 |
12 | 
13 |
14 | ## [GSoC Project Page](https://summerofcode.withgoogle.com/programs/2022/projects/7Cr2y0Tz)
15 |
16 | ## [GSoC Project Proposal](https://drive.google.com/file/d/1e87HgRpo4FD92bcfUEnRh3UnlOQlTAyp/view)
17 |
18 | ## [GitHub Organization Repo](https://github.com/leopardslab/CrawlerX)
19 |
20 | ## [GitHub Personal Repo](https://github.com/dizzysilva/CrawlerX)
21 |
22 | ## [Commits during GSoC 2022](https://github.com/leopardslab/CrawlerX/commits?author=dizzysilva)
23 |
24 | # Work Summary
25 |
26 | For GSoC 2022, I mainly contributed to CrawlerX's new Web UI. As the part of development, I used VueJS as the main Javascript library with state management features. During the first phase, I had few meetings with my mentor to decide on a theme and finalize the UI template to proceed with the application. Please refer to the demo UI image below.
27 |
28 | - Dashboard Page
29 |
30 | 
31 |
32 | - Crawl Job Page
33 |
34 | 
35 |
36 | # What Covered
37 |
38 | - New Logo Design
39 | - CrawlerX Login page
40 | - CrawlerX SignUp page
41 | - Firebase authentication with Google
42 | - Firebase authentication with Email/Password
43 | - CrawlerX Dashboard with job summary
44 | - CrawlerX crawl project page
45 | - CrawlerX Instant Crawl Job page
46 | - CrawlerX Interval Crawl Job page
47 | - CrawlerX Cron Crawl Job page
48 | - CrawlerX selecting and scheduling UI
49 | - Testing on containerized environment
50 |
51 | # What left
52 |
53 | - Integrating observability UI
54 |
55 | # Reference
56 |
57 | - [VueJS](https://vuejs.org/)
58 | - [NPM](https://www.npmjs.com/)
59 |
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/GSoC-2018/Sumedhe_Dissanayake-Senz_Switch.md:
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1 | # Project Name
2 | SenZ Switch
3 |
4 | ## Student Info
5 | * Name : Sumedhe Dissanayake
6 | * Email : [sumedhedissanayake@gmail.com](mailto:sumedhedissanayake@gmail.com)
7 | * Github : [https://github.com/sumedhe](https://github.com/sumedhe)
8 | * Linkedin : [https://www.linkedin.com/in/sumedhe](https://www.linkedin.com/in/sumedhe)
9 | * Institute : University of Colombo School of Computing, Sri Lanka.
10 |
11 |
12 | ### Project Abstract
13 | SenZ Switch is a high-speed message passing system which can be used to do the communicating between IoT devices. After connecting the devices to the system, they can share data with the other connected devices. The system acts like a message broker and it does not keep or read any data passing through it. All the messages passing through the system are secured with an End-to-end Encryption method. So this system to can be used to connect private devices also without hesitating.
14 |
15 |
16 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6441506961883136)
17 |
18 | ### [GSoC Project Proposal](https://drive.google.com/open?id=1H_gOvQTQoHPOiBmdKv65zb3ADAw84eup)
19 |
20 | ### [GitHub Organization Repo](https://github.com/scorelab/senz)
21 |
22 | ### [GitHub Personal Repo](https://github.com/sumedhe/senz)
23 |
24 | ### [Commits during GSoC 2018](https://github.com/scorelab/senz/commits?author=sumedhe)
25 |
26 | ### [Project Demo Video](https://youtu.be/QXyGK5AwvFI)
27 |
28 | ### [Project Wiki](https://github.com/sumedhe/senz/wiki)
29 |
30 | ### Work Summary
31 |
32 | For GSoC 2018, I have implemented the main functions of the SenZ switch using Scala. The SenZ switch works as a hub and it passes messages between devices. Akka actor models are used for connecting devices with the server and passing messages between devices. Sample client programmes are also implemented to transfer data between devices with end-to-end protection.
33 |
34 | ### What Covered
35 | Things covered in GSoC coding period
36 | - Senz message parser to parse message queries
37 | - TCP Socket
38 | - Akka models for device sessions and the socket
39 | - RSA Key Generation module
40 | - Session manager to handle connected devices
41 | - Database module to use mongodb
42 | - Message data encryption using AES Crypto
43 | - Client programs to transfer images between two devices
44 | - Unit tests for each module
45 | - API Documentation
46 |
47 |
48 | ### What left
49 | - Admin panel to manage devices
50 | - Streaming functionalities
51 |
52 | ### Reference
53 | 1. [Akka official Documentation](https://akka.io/docs/)
54 | 2. [Scala Documentation](https://docs.scala-lang.org)
55 | 3. [Modern Functional Programming and Actors With Scala and Akka](https://pdfs.semanticscholar.org/1f1e/398b39a77681e0c83feb12e2bcdace133728.pdf)
56 | 4. [Azure IoTHubReact](https://azure.github.io/toketi-iothubreact)
57 | 5. [MySensors.info](http://mysensors.info/senz.html)
58 |
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/GSoC-2020/Harshit-Verma-Express-Python.md:
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1 | # Express Python
2 |
3 | ## Student Info
4 |
5 | * Name - Harshit Verma
6 | * Email - hverma1@cs.iitr.ac.in
7 | * University - IIT Roorkee, India
8 | * GitHub Profile - hv7214
9 | * LinkedIn profile - hv7214
10 | * Medium - hverma1
11 |
12 | ### Project Abstract
13 |
14 | Express Python is a Python code editor designed to be a valuable companion
15 | application for learning and competitive programming. It runs easily on
16 | Windows distros. It supports input and output window and works with stdin.
17 |
18 | ### [GSoC Project Page](https://github.com/leopardslab/expressPython)
19 |
20 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1Df3egaxvC_q2f6BG71d6Q2twb-zewrMfI3cRX5OL9rM/edit)
21 |
22 | ### [GitHub Organization Repo](https://github.com/leopardslab)
23 |
24 | ### [GitHub Personal Repo](https://github.com/hv7214/expressPython)
25 |
26 | ### [Commits during GSoC 2020](https://github.com/leopardslab/expressPython/commits?author=hv7214)
27 |
28 | ### [Project Demo Video](https://user-images.githubusercontent.com/42354803/83750303-bde3be80-a682-11ea-955e-f2aff01f4b10.gif)
29 |
30 | ### [GSoC Blog](https://medium.com/@hverma1/gsoc20-blogs-unified-20158170a0fa)
31 |
32 | ### Work Summary
33 |
34 | 1. Used ANTLR to generate lexers for syntax highlighting, replacing the old one written as a set of regex.
35 | 2. Fix the Jedi based auto-completion.
36 | 3. Check for memory/thread issues using Valgrind/Address Sanitizer/Thread Sanitizer.
37 | 4. Integrated terminal window in the expressPython.
38 | 5. Enable Continuous Integration for linux.
39 |
40 | ### What Covered
41 |
42 | * [Added Unix support](https://github.com/leopardslab/expressPython/pull/8)
43 | * [Fixed Jedi autocomplete](https://github.com/leopardslab/expressPython/pull/9)
44 | * [Added expressPython gitter link](https://github.com/leopardslab/expressPython/pull/12)
45 | * [Terminal Integration](https://github.com/leopardslab/expressPython/pull/13)
46 | * [Added ANTLR Syntax highlighting](https://github.com/leopardslab/expressPython/pull/17)
47 | * [Port QMake to CMake](https://github.com/leopardslab/expressPython/pull/19)
48 | * [Ubuntu CI and deb package generation](https://github.com/leopardslab/expressPython/pull/25)
49 | * [Doc update](https://github.com/leopardslab/expressPython/pull/26)
50 | * [Ubuntu CI Artifacts Release feature](https://github.com/leopardslab/expressPython/pull/28)
51 | * [Snippet, Tutorial and Notes Toggle button](https://github.com/leopardslab/expressPython/pull/29) *(Not part of proposal)*
52 | * [Shortcut Keys feature](https://github.com/leopardslab/expressPython/pull/30) *(Not part of proposal)*
53 | * [Issue and Bug templates](https://github.com/leopardslab/expressPython/pull/31) *(Not part of proposal)*
54 |
55 | ### What left
56 |
57 | * macOs CI *(Work in progess) (Not part of proposal)*
58 | * Windows CI *(Not part of proposal)*
59 |
60 | ### Reference
61 |
62 | [GSoC'20 Daily Log](https://docs.google.com/document/d/1jHwgMigkUS7l9FH_dDHdh88djDvIHQF4ftW0d7q_Dkw/edit)
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/GSoC-2019/Wathsara-Daluwatta-Go-Social.md:
--------------------------------------------------------------------------------
1 | # Animal Rescue App
2 |
3 | ## Student Info
4 |
5 | Name : Wathsara Wishwantha Daluwatta
6 | Email : wvd.51461@gmail.com
7 | GitHub profile - https://github.com/Wathsara
8 |
9 | ### Project Abstract
10 |
11 | A common sight on today’s streets is the number of abandoned animals languishing on the streets suffering with injuries and disease and live without any shelter. The silent suffering of these souls caught the attention of dynamic, animal lover, so Animal Rescue App initiative to develop a mobile app to track animals that are in need of help. Animal Rescue App Connect animal lovers, vets, and other NGOs in real time. They Can Track the Animals That Actually Need the Help.
12 |
13 | People can start by signup to the application using Facebook or Google. When someone comes across a sick or injured or languishing animal on the road and is unable to attend to it, can use the app to send a message across through the app to anyone in the vicinity to help. Take a picture of the animal and the Set the location. Then select the type of animal and some Description about the Animal. Then The Peoples who Love to help that animal would attend to it. Then they can update the status of that Animal As well. And also app will provide a category wise searching in order to help the people to easily come across animals that need help.
14 |
15 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4677826245033984)
16 |
17 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1_kBaadN--xKNTA2XbVf0gbZlGbfGMoqk1znywInjiR4/edit?usp=sharing)
18 |
19 | ### [GitHub Organization Repo](https://github.com/scorelab/AnimalRescue)
20 |
21 | ### [GitHub Personal Repo](https://github.com/Wathsara/AnimalRescue)
22 |
23 | ### [Commits during GSoC 2019](https://github.com/scorelab/AnimalRescue/commits/master)
24 |
25 | ### [Project Demo Video](https://drive.google.com/file/d/1Efb4CDYzobjaBgs0-1Hy_83IfK63Ib84/view?usp=sharing)
26 |
27 | ### [Project Wiki](https://github.com/scorelab/AnimalRescue/wiki)
28 |
29 |
30 | ### Work Summary
31 |
32 | For the GSoC 2019, I've implemented the basic functionality of the moblie application. The application is implemented with react-native and the used the Go social Components, so the apps for iOS and Android can be built at the same time. And unit testing in the mobile application have been done using jest.
33 |
34 | ### What Covered
35 | Implimented
36 | 1. SignIn and SignUp using Facebook and google.
37 | 2. Create Post with Photo or Video
38 | 3. Filtering of Post Using distance and Time.
39 | 4. Commenting and adding reactions
40 | 5. Handling the issue.
41 | 6. FInishing the issue with proof.
42 | 7. Notification.
43 | 8. Profile and edit profile.
44 |
45 |
46 | ### What left
47 | 1. Styling the Some UI components
48 |
49 |
50 | ### Reference
51 | [1]: React-Native Docs - https://facebook.github.io/react-native/
52 | [2]: Firebase Docs - https://firebase.google.com/docs/
53 | [3]: Google Map API - https://developers.google.com/maps/documentation/
54 |
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/GSoC-2019/Yash-Mehrotra-Senz.md:
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1 | # Project Name
2 |
3 | SenZ Admin Panel
4 |
5 | ## Student Info
6 |
7 | - Name -Yash Mehrotra
8 | - Email -mehrotra.yash9@gmail.com
9 | - GitHub -https://github.com/YashMeh
10 | - Linkedin -https://www.linkedin.com/in/yash-mehrotra-ab2573154
11 | - Institute -Vellore Institute of Technology, India
12 |
13 | ### Project Abstract
14 |
15 | SenZ admin panel is the view of the software that interact with the user and enable overall control on the devices .It fetches data from multiple sources and present in an interactive way which reduces the complexity of dealing with multiple devices. Such views are built to convincingly stimulate how a user would interact while managing devices in real life.
16 |
17 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5446905234980864)
18 |
19 | ### [GSoC Project Proposal](https://drive.google.com/open?id=1KieQm6DlYcJbuhk8DBJld8cdt_o68_Z4B-4RD9rzBAU)
20 |
21 | ### [GitHub Organization Repo](https://github.com/scorelab/senz)
22 |
23 | ### [GitHub Personal Repo](https://github.com/YashMeh/senz)
24 |
25 | ### [Commits during GSoC 2018](https://github.com/scorelab/senz/commits?author=YashMeh)
26 |
27 | ### [Project Demo Video](https://drive.google.com/file/d/1lSEZEN3j80c8j2TRLFNvoeFAp1niKLEW/view)
28 |
29 | ### [Project Wiki](https://github.com/YashMeh/senz/wiki)
30 |
31 | ### [GSoC Blog](https://medium.com/@yashmehrotra_77558/reactjs-love-at-second-sight-6010a472a9af)
32 |
33 | ### Work Summary
34 |
35 | In GSoC 2019 I built the admin panel and the senz npm module.
The admin panel can be use to control devices connected to the senz server from the browser.Apart from controlling the devices the panel also provides some visualization to help the user analyse the data being sent and received.
36 | The senz npm module provides a common interface to connect to the server.
37 |
38 | ### What Covered
39 |
40 | - User authentication (login/signup).
41 | - Creation and deletion of devices and projects.
42 | - Data visualisation for a project.
43 | - Switching of devices and projects.
44 | - Generation of key for the user for query authentication.
45 | - Custom error handling for the senz switch to log various kinds of errors.
46 | - Visualisation of error logs in the admin panel.
47 | - NPM module for the senz switch.
48 | - Tests for the admin panel and the npm module.
49 | - CI using travis.
50 | - API documentation.
51 |
52 | ### What left
53 |
54 | - Sending and receiving of streaming data in the senz-switch.
55 | - Logging the streaming data onto the admin panel.
56 | - A mobile application of the admin panel.
57 |
58 | ### Reference
59 |
60 | - [NodeJs Documentation](https://nodejs.org/en/docs/)
61 | - [ReactJs Documentation](https://reactjs.org/docs/getting-started.html)
62 | - [Redux Documentation](https://redux.js.org/api/api-reference)
63 | - [Casbah Scala](https://mongodb.github.io/casbah/)
64 | - [Scala Documentation](https://docs.scala-lang.org/)
65 | - [NPM Documentation](https://docs.npmjs.com/cli/publish)
66 |
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/GSoC-2018/Lakindu_Gunasekara-CLocal_Azure.md:
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1 | # Project Name
2 |
3 | CLocal-Azure
4 |
5 | ## Student Info
6 |
7 | * Name - Lakindu Gunasekara
8 | * Email - lakindu1995@gmail.com
9 | * University - Informatics Institute of Technology, Sri Lanka
10 | * GitHub profile - https://github.com/lakindu95
11 | * LinkedIn profile - https://www.linkedin.com/in/lakindu-gunasekara
12 |
13 | ### Project Abstract
14 |
15 | CLocal Azure is an local emulator to test or mock the Azure Services without deploying into Azure Platform, and provide easiness for developer by reducing the cost. Our goal is to have all azure possible local services into one single project and provide easiness to run a whole azure project locally. Currently project supports azure functions, azure storage and azure cosmos db emulators to run locally.
16 |
17 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5610489845907456)
18 |
19 | ### [GSoC Project Proposal](https://drive.google.com/open?id=1-VnJFRaNZNawGCZp38K6JRzd1C-6zoRP)
20 |
21 | ### [GitHub Organization Repo](https://github.com/cloudlibz/clocal-azure)
22 |
23 | ### [GitHub Personal Repo](http://github.com/lakindu95/clocal-azure)
24 |
25 | ### [Commits during GSoC 2018](https://github.com/cloudlibz/clocal-azure/pull/2)
26 |
27 | ### [Project Demo Video](https://www.youtube.com/playlist?list=PLbd4A5tkijhDGRQp6BcrwGhRvS0TU8zhQ)
28 |
29 | ### [Project Wiki](https://github.com/cloudlibz/clocal-azure/wiki)
30 |
31 | ### [GSoC Blog](https://medium.com/tag/clocal-azure/latest)
32 |
33 | ### Work Summary
34 |
35 | For the GSoC 2018, I've initiate the project from the scratch and added support for four services to emulate locally.
36 |
37 | Services added,
38 | - Azure Functions
39 | - Azure Storage (Blob, Queue & Tables)
40 | - Azure CosmosDB
41 | - API App Service
42 |
43 | Along with the above implementations, I have added sample projects for each service in the project itself and added an article every week and created a video series for each service.
44 |
45 | ### What Covered
46 |
47 | For the initial stage I have covered the following services.
48 |
49 | 1. Azure Functions (function init, function start, function stop)
50 | 2. Azure Storage (storage start, storage clear, storage stop)
51 | - Blob
52 | - Queue
53 | - Table
54 | 3. Azure Cosmos DB (cosmosdb init, cosmosdb start, cosmosdb stop)
55 | 4. API App Service (api start)
56 |
57 | - Added a script to run all services at once (sh compose.sh)
58 |
59 | ### What left
60 |
61 | - Portential to add more services
62 | - Add additional commands for services
63 |
64 | ### Reference
65 |
66 | - [Azure Functions Documentation for Local Run](https://docs.microsoft.com/en-us/azure/azure-functions/functions-run-local)
67 | - [Azure Cosmos DB Emulator](https://docs.microsoft.com/en-us/azure/cosmos-db/local-emulator)
68 | - [Azure Storage Emulator](https://docs.microsoft.com/en-us/azure/storage/common/storage-use-emulator)
69 | - [Azure API App Service sample](https://github.com/Huachao/azure-content/blob/master/articles/app-service-api/app-service-api-nodejs-api-app.md)
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/GSoC-2019/Tuan-Amith-Fact-Bounty.md:
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1 | # Project Name
2 | Fact Bounty
3 |
4 | ## Student Info
5 | * Name - Tuan Muraad Amith
6 | * Email - [ymuraad@gmail.com](mailto:ymuraad@gmail.com)
7 | * University - University of Colombo School of Computing
8 | * Github Profile - [https://github.com/root5533](https://github.com/root5533)
9 | * LinkedIn Profile - [https://www.linkedin.com/in/root5533/](https://www.linkedin.com/in/root5533/)
10 |
11 | ### Project Abstract
12 | Fact Bounty is a platform where the truth and validity of news is determined through crowdsourcing. The main objective is to spread awareness regarding fake news and with the help of visualizations, help users determine the spread of such news documents.
13 |
14 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6365922036547584)
15 |
16 | ### [GSoC Project Proposal](https://summerofcode.withgoogle.com/serve/5052203209850880/)
17 |
18 | ### [GitHub Organization Repo](https://github.com/scorelab/fact-Bounty)
19 |
20 | ### [GitHub Personal Repo](https://github.com/root5533/fact-Bounty)
21 |
22 | ### [Commits during GSoC 2018](https://github.com/scorelab/fact-Bounty/commits?author=root5533)
23 |
24 | ### [Project Wiki](https://github.com/scorelab/fact-Bounty/wiki)
25 |
26 | ### Work Summary
27 | During the GSoC period, I was able to complete the milestone of visualizing the rumour spread of a certain news item in tweets. Depending on a specific keyword, the relevant tweets, retweets and quotes are gathered and visualized in a graph that shows how many users have retweeted a certain tweet from a user and how many users have tweeted regarding the keyword.
28 |
29 | ### What Covered
30 | Following are the tasks that was completed.
31 | * Created a Twitter app using the Twitter developer platform to allow searching and retrieving tweets from Twitter.
32 | * Set up an authentication portal using oauth.io that will handle complex authentication flows in order to provide permission for client app to use user's Twitter account to retrieve tweets.
33 | * Authorize each user with Twitter app and save the tokens to prevent user authorization everytime user searches for tweets.
34 | * Given a keyword, retrieve a maximum of 1000 tweets related to the keyword by sending multiple requests to Twitter search API.
35 | * Generate and visualize a directed graph using sigmajs where each tweet represent a node and each edge represent the tweet was retweeted or quoted by a user.
36 | * Show twitter handle of user in each node label.
37 | * Preview details of tweet and user that each node represent.
38 | * Visualize a timeline graph of cumulative tweets against the time the tweets were created.
39 | * Animate the graph showing the progress of tweets and retweets with time.
40 |
41 | Bug fixes and CSS styling of client side application was also carried out during the GSoC period.
42 |
43 | ### What left
44 | * Set up a free authentication portal instead of oauth.io
45 |
46 | ### Reference
47 | * SigmaJS - http://sigmajs.org
48 | * Twitter API - https://developer.twitter.com/en/docs
49 | * OAuth - http://docs.oauth.io/
50 |
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/GSoC-2021/09-Lycanthrope-Code-Labz.md:
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1 | # CodeLabz
2 |
3 | ## Student Info
4 |
5 | - Name - Piyumal Kularathna
6 | - Email - piyumaldk@gmail.com
7 | - GitHub Profile - https://github.com/piyumaldk
8 | - Medium - https://medium.com/@piyumal
9 |
10 | # Project Abstract
11 |
12 | Codelabz is a platform which gives users to engage with online tutorials
13 | and organizations to add tutroials.
14 | Project is developed using Google Firebase and Firestore as backend.
15 | Project's frontend is developed using React and Material UI.
16 |
17 | ## [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5308706394210304)
18 |
19 | ## [GSoC Project Proposal](https://drive.google.com/file/d/1uya-6US0RKZxr7UpNDOENOn0QhrR5qra/view?usp=sharing)
20 |
21 | ## [GitHub Organization Repo](https://github.com/scorelab/Codelabz)
22 |
23 | ## [GitHub Personal Repo](https://github.com/piyumaldk/Codelabz/tree/material-ui)
24 |
25 | ## [Commits during GSoC 2021](https://github.com/scorelab/Codelabz/commits/master?author=piyumaldk)
26 |
27 | ## [Project Demo Video](https://youtu.be/_Rp10p7O_gY)
28 |
29 | ## [Project Wiki](https://github.com/scorelab/Codelabz#readme)
30 |
31 | ## [GSoC Blog](https://piyumal.medium.com/list/google-summer-of-code-5549256fbbd4)
32 |
33 | # Work Summary
34 |
35 | Main task was to develop components using Material UI. Some components of the
36 | project were built using AntD. Most challenging part of the project was to convert some functions to Material UI which was built easily using AntD. For an example, image croping. In the porcess, I was able to design images to replace some previews of the project too as an additional task. I developed seperate common reusable components for image handling, field validations as Material UI does not provide simple components for these tasks. Dashboard, Profile, Profile Info Card, Profile View, and Edit Profile View are the main components which were developed by me. Other than that, common components such as app bar of the project was also developed by me. All developed components are both mobile and web friendly. Components were tested manually. Overall user interface fixing was done as finalizing the project also by me. Handling Firestore and designing user interfaces using Figma for the project were also done by me parallelly with the above mentioned tasks. In addition to that fixing some errors and warnings of the project was also done by me as I got those tasks directly from the mentor too.
37 |
38 | Live demo - [https://dev.codelabz.io/](https://dev.codelabz.io/)
39 |
40 | # What Covered
41 |
42 | - Dashboard Component and it's functions
43 | - Profile Component and it's functions
44 | - Profile Info Card Component and it's functions
45 | - Profile View Component and it's functions
46 | - Edit Profile Details Component and it's functions
47 | - App Bar of the Project and it's functions
48 | - Design preview SVG files
49 | - User Interface Designing using Figma
50 | - User Interface fixing
51 | - Error and Warning Fixing
52 |
53 | # What left
54 |
55 | - Complete User Home Page
56 | - Extend functionalities
57 |
58 | #
59 |
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/GSoC-2021/12-Pola-Hano-Shehat-Improving-Image-Lab-UI-UX.md:
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1 | # ImageLab - Improving the Image Lab user experience
2 |
3 | ## Student Info
4 |
5 | * Name - Pola Hano Shehat
6 | * Email - [pola.hano@gmail.com](pola.hano@gmail.com)
7 | * GitHub Profile - [polahano](https://github.com/polahano)
8 | * Medium - [@pola.hano](https://medium.com/@pola.hano)
9 |
10 | ### Project Abstract
11 | ImageLab is a standalone tool which supports anyone to get started with image processing related concepts and techniques in an interactive, less logical way. So, this tool enables and also motivates the fresh users to understand how image processing concepts work by interacting with ImageLab. Moreover, for the users who are already comfortable with image processing tasks ImageLab offers a test environment before they move ahead with actual implementation or development.
12 |
13 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/archive/2021/projects/5708407146807296)
14 |
15 | ### [GSoC Project Proposal](https://docs.google.com/document/d/14zHGm2HtsyNfw1Z8AQkUBqlRf3ZsQVPfx5EHjZzqNZ4/edit?usp=sharing)
16 |
17 | ### [GitHub Organization Repo](https://github.com/scorelab/ImageLab)
18 |
19 | ### [GitHub Personal Repo](https://github.com/polahano/imagelab)
20 |
21 | ### [Commits during GSoC 2021](https://github.com/scorelab/ImageLab/commits?author=polahano)
22 |
23 | ### [Project Demo Video](https://drive.google.com/file/d/1qqARDWuTBXQCHXiRmsgiZVivvucDf2Mg/view?usp=sharing)
24 |
25 | ### [GSoC Blog](https://medium.com/@pola.hano/my-journey-with-score-lab-in-gsoc-2021-4b6f580d3390)
26 |
27 | ### Work Summary
28 |
29 | The main idea of the project that I chose to work on is enhancing UI / UX of the project. So, I started before the GSoC begins and designed my initial imagination about the project UI and thinked how to improve it to get user satisfactory. After thinking I listed points to follow to get better UI. I started building a new UI from scratch and through my work I gained much experience in technologies I have never used and by time with consulting of my mentors the project got better and better.It was a great learning journey.
30 |
31 | ### What Covered
32 |
33 | - Designing a logo for ImageLab project
34 | - Designing a splash screen (loading screen)
35 | - Making a quick guide on the first use
36 | - Improving the project User Interface
37 | - Adding night mode
38 | - Changing block styles
39 | - Adding zooming in the playground and in preview pane.
40 | - Add save or don’t save pipeline option when closing the app.
41 | - Replacing Information pane with improved one.
42 | - Adding Info (About us) section
43 | - Providing availability for all image sizes
44 | - Drag and drop in basket to remove a specific filter
45 | - Adding some buttons
46 | - Run with keyboard shortcut.
47 | - Adding the ability to search for a block.
48 | - Adding undoing feature
49 | - Coloring information pane on selecting a block.
50 | - Customizing title bar and menu bar
51 |
52 | ### What left
53 |
54 | - Adding help section
55 | - Adding history pane
56 | - Package the application into an installable exe file in windows
57 | - Enhancing the UI of the project documentation.
58 |
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/GSoC-2020/Nimesha-S-ChainX.md:
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1 | # S-ChainX
2 |
3 | ## Student Info
4 |
5 | * Name - Nimesha
6 | * Email - tnwick4@gmail.com
7 | * GitHub Profile - Tharuka-Nimesha
8 | * Medium - https://medium.com/@tnwick4
9 | * Twitter - []()
10 |
11 | ### Project Abstract
12 | In commerce, supply chain management, the management of the flow of goods and services, involves the movement and storage of raw materials, of work-in-process inventory, and of finished goods from point of origin to point of consumption. A consumer being able to keep track of these intermediate steps at any given point ensures the superiority and the freshness of the product he/she is about to consume. S-ChainX is an open source platform, in which the organizations can define their subsequent procedures that take place in their supply chains. The agent will be inserting the corresponding details to the platform and on the other hand, the consumers will be able to view the stored information. To make sure that the consumers get accurate data and that the data can not be manipulated, S-ChainX uses blockchain to store the transactions.
13 |
14 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/)
15 |
16 | ### [GSoC Project Proposal](https://drive.google.com/file/d/13xtCmbdJeHrKh7RhpT20WGvEdcPq7afH/view?usp=sharing)
17 |
18 | ### [GitHub Organization Repo](https://github.com/scorelab/S-ChainX)
19 |
20 | ### [GitHub Personal Repo](https://github.com/Tharuka-Nimesha/S-ChainX)
21 |
22 | ### [Commits during GSoC 2020](https://github.com/scorelab/S-ChainX/commits)
23 |
24 | ### [Project Demo Video](https://drive.google.com/file/d/1mXfnJrq5qh7yFKo9mRx9o_kt3Svyuoea/view?usp=sharing)
25 |
26 | ### [GSoC Blog]()
27 |
28 | ### Work Summary
29 | For GSoC 2020, I mainly focused on building the hyperledger fabric network for S-ChainX and its smart contracts. The blockchain network for the project was developed using the IBM extension and the smart contract project is extracted in a way that can be easily hosted on IBM cloud witha few clicks. For the demonstration, the network has one orderer, one peer and one org in it. The org admin has the priviledge to submit and evaluate the transactions. Furthermore a prototype mobile application was also developed using React Native to demonstrate the consumer's experience.
30 |
31 | ### What Covered
32 | * Smart contract project for a hypothotical business scenario (Coffee)
33 | * Hyperledger fabric network for demo purposes including 1 org, 1 orderer, 1 peer
34 | * SC project extraction to support plug and play on IBM cloud
35 | * Mobile app prototype for consumers
36 |
37 | ### What left
38 | * Hosting the SC project on a blockchain hosting provider
39 | * API to query data from the mobile application
40 | * Generate QR codes when the "Create" smart contract is sumbited
41 | * Interate maps and history functionality to the mobile application
42 |
43 | ### Reference
44 | 1. [IBM Blockchain Docs](https://cloud.ibm.com/docs/blockchain?topic=blockchain-get-started-ibp#ibm-blockchain-platform)
45 | 2. [Hyperledger fabric](https://www.hyperledger.org/use/fabric)
46 | 3. [IBM Cloud](https://www.ibm.com/cloud)
47 | 4. [React Native](https://reactnative.dev)
48 |
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/GSoC-2020/Poornima-Rangoda-CrawlerX-Extensible-Distributed-Scalable-Crawler-System.md:
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1 | # CrawlerX - Extensible, Distributed, Scalable Crawler System
2 |
3 | ## Student Info
4 |
5 | * Name - Poornima Rangoda
6 | * Email - poornima.k.rangoda@gmail.com
7 | * GitHub Profile - https://github.com/poornimarangoda
8 | * Medium - https://medium.com/@poornimar.blogger
9 |
10 | ### Project Abstract
11 | The CrawlerX is a platform which we can use for crawl web URLs in different kind of protocols in a distributed way. Web crawling often called web scraping is a method of programmatically going over a collection of web pages and extracting data which useful for data analysis with web-based data. With a web scraper, you can mine data about a set of products, get a large corpus of text or quantitative data to play around with, get data from a site without an official API, or just satisfy your own personal curiosity.
12 |
13 | 
14 |
15 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4546083851599872)
16 |
17 | ### [GSoC Project Proposal](https://drive.google.com/file/d/1ys3cfM00_1rXg-xWPqQbDuuleIzkZW18/view)
18 |
19 | ### [GitHub Organization Repo](https://github.com/leopardslab/CrawlerX)
20 |
21 | ### [GitHub Personal Repo](https://github.com/poornimarangoda/CrawlerX)
22 |
23 | ### [Commits during GSoC 2020](https://github.com/leopardslab/CrawlerX/pulls?q=is%3Apr+is%3Aclosed+author%3Apoornimarangoda)
24 |
25 | ### [GSoC Blog]
26 | * Story 1 - [Link](https://medium.com/scorelab/gsoc-with-scorelab-2020-story-01-b845ebc190b8)
27 | * Story 2 - [Link](https://medium.com/@poornimar.blogger/gsoc-with-scorelab-2020-story-02-970ddeba2dc8)
28 |
29 | ### Work Summary
30 | For the GSoC 2020, I have implemented the CrawlerX platform which is an extensible, distributed, scalable crawler system for the end-users. With this platform, now users can simply crawl any kind of URL as he desired. In this platform, I have implemented 3 main spiders for crawling mechanisms. What users need to do is, just log in to the system, create a project using the intuitive user interface and schedule the crawl job by adding required URLs. Also, the CrawlerX platform is capable to preview what are the created projects by users, corresponding jobs and the results of the scheduled jobs with its status. Additionally, users can see the crawled data with this platform just from one click.
31 |
32 | ### What Covered
33 | * User login with Firebase authentication and authorization.
34 | * Project creation for Crawling jobs.
35 | * Crawling job scheduling.
36 | * Backend integration with Django REST APIs.
37 | * Message broker functionality for extensibility with RabbitMQ.
38 | * Job scheduling capability with Scrapy.
39 | * Integrate data storing functionality with MongoDB.
40 | * Platform wise centralized logs/query analysis with ElasticSearch.
41 | * Crawled data previewing.
42 | * UI for the CrawlerX platform with VueJS.
43 |
44 | ### What left
45 | * Upload crawling URLs from files.
46 | * Kubernetes artifacts.
47 |
48 | ### Reference
49 | 1. [Scrapy](https://scrapy.org/)
50 | 2. [VueJS](https://vuejs.org/)
51 |
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/GSoC-2018/Pratik_Dhanave-GoCloud.md:
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1 | # GoCloud
2 | ## Student Info
3 | * Name - Pratik Dhanave
4 | * Email - i.pratikdhanave@gmail.com
5 | * GitHub profile - https://github.com/PratikDhanave
6 |
7 |
8 | ### Project Abstract
9 | gocloud is a standard library for Go that abstracts away differences among multiple cloud providers. Developing golang package for interacting with Google cloud,AWS, Digi Ocean, Ali Cloud using a unified API.
10 |
11 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6643006694752256)
12 |
13 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1a1J5kYc1CtNCTpXCj2JMcAqXsMaMVNUF8iajTEiggO0/edit)
14 |
15 | ### [GitHub Organization Repo](https://github.com/cloudlibz/gocloud)
16 |
17 | ### [GitHub Personal Repo](https://github.com/PratikDhanave/gocloud)
18 |
19 | ### [Commits during GSoC 2018](https://github.com/PratikDhanave/gocloud/commits/awsserverlesslambada-v2)
20 |
21 | ### [Project Demo Video](https://www.youtube.com/playlist?list=PLOdfztY25UNnxK_0KRRHSngJIyVLDKZxq&disable_polymer=true)
22 |
23 | ### [Project Wiki](https://github.com/cloudlibz/gocloud/wiki)
24 |
25 | ### [GSoC Blog](https://medium.com/gocloud)
26 |
27 | ### Work Summary
28 | For GSoC 2018 I have extended the project support for AWS and Google cloud platform (GCP).
29 |
30 | Support for following services were added,
31 | - Serverless
32 | - Database
33 | - Machine Learning
34 | - Analytics
35 | - Notification Service
36 | - Stream Data Processing
37 | - for authentication with AWS cloud I implemented signature-version-4 get method and signature-version-4 with authetication header method.
38 | - for authentication with Google cloud I implemented OAuth client and service account authentication method.
39 |
40 | Along with development of APIs, I added documentation and unit tests.
41 | Created tutorial series.
42 |
43 | ### What Covered
44 |
45 | - Developed APIs for Serverless, Database, Machine Learning, Analytics, notification and stream data processing.
46 |
47 | 1. AWS
48 | - lambada
49 | - Amazon DynamoDB
50 | - Amazon Machine Learning
51 | - Amazon Redshift
52 | - Amazon Simple Notification Service
53 | - Amazon Kinesis
54 |
55 | 2. GCP
56 | - Google Cloud functions
57 | - Google Cloud Bigtable
58 | - Google Machine Learning Engine
59 | - BigQuery
60 | - Cloud Pub/Sub
61 | - Cloud Dataflow
62 |
63 |
64 | - Added unit tests for developed APIs.
65 | - Added documentation for developed APIs.
66 | - Added examples for developed APIs.
67 | - Added Developer API documentation using godoc for developed APIs.
68 | - Created gocloud getting started video tutorial series.
69 |
70 | ### What left
71 |
72 | - Additional APIs can be added as improvements in next versions.
73 | - Potential to add more cloud providers.
74 |
75 | ### Reference
76 | - [Aws-documentation](https://aws.amazon.com/documentation/)
77 | - [Aws-signature-version-2](http://docs.aws.amazon.com/general/latest/gr/signature-version-2.html)
78 | - [Aws-signature-version-4](http://docs.aws.amazon.com/general/latest/gr/signature-version-4.html)
79 | - [Google-cloud-documentation](https://cloud.google.com/docs/)
80 | - [AWS and Google Cloud platform comparison](https://cloud.google.com/docs/compare/aws/)
81 |
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/GSoC-2019/Udesh-Kumarasignhe-LabelLab.md:
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1 | # Project Name
2 | Mobile App for LabelLab
3 |
4 | ## Student Info
5 |
6 | - Name: Udesh Kumarasinghe
7 | - Email: mail@udesh.xyz
8 | - University: Univesity of Colombo School of Computing,Sri Lanka
9 | - GitHub Profile: https://github.com/UdeshUK
10 | - LinkedIn Profile: https://www.linkedin.com/in/udeshuk/
11 |
12 | ### Project Abstract
13 |
14 | LabelLab Mobile App focuses on creating a mobile application to classify and label all kind of images without being specific to a category to satisfy more use cases. LabelLab mobile app’s motivation is to allow the user to use a classification model in the field using their handheld device.
15 |
16 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5748654906802176)
17 |
18 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1ErDhg_8wRGGVPyBeuOYdzSzkVp2ZmzAXwt5zOL6zjsE/edit?usp=sharing)
19 |
20 | ### [GitHub Organization Repo](https://github.com/scorelab/LabelLab)
21 |
22 | ### [GitHub Personal Repo](https://github.com/UdeshUK/LabelLab)
23 |
24 | ### [Commits during GSoC 2018](https://github.com/scorelab/LabelLab/commits?author=UdeshUK)
25 |
26 | ### [Project Demo Video](https://youtu.be/9UG7UEyQans)
27 |
28 | ### [Project Wiki](https://github.com/scorelab/LabelLab/wiki)
29 |
30 | ### Work Summary
31 |
32 | For the GSoC 2019, I've initiated the LabelLab Mobile app project from scratch and implemented the required functionality using Flutter. Also, I've collaboratively implemented modules of LabelLab server which are required for LabelLab Mobile app's functionality. I have successfully implemented image classification from camera or gallery, classification history, admin features, authentication with social logins and documented information needed to set up the project.
33 |
34 | ### What Covered
35 |
36 | - Collaboratively designed and finalized labellab-server endpoints
37 | - Designed mobile app's UI flow and wireframes
38 | - Initialized flutter project and configured dependencies
39 | - Implemented sign in and sign up frow and integrated with the labellab-server
40 | - Integrated Google Sign In and GitHub SSO
41 | - Created the user profile and update profile picture edit feature
42 | - Created classification endpoints in the labellab-server to be used for classifications
43 | - Implemented image classification flow to classify images using camera or gallery
44 | - Created history section to list out user's previous classifications
45 | - Implemented project management(create, edit, delete) features
46 | - Implemented user search endpoint and functionality to search users
47 | - Implemented project's user management (add or remove members)
48 | - Implemented project's label management (create, edit, remove)
49 | - Implemented single and batch image upload with camera or gallery
50 | - Implemented uploaded image management features
51 | - Created a labeling tool to add labels to uploaded images using rectangular or polygonal selections
52 | - Wrote tests for implemented endpoints of labellab-server
53 |
54 | ### What left
55 |
56 | - Implement path tracking feature by integrating with the labellab server
57 |
58 | ### Reference
59 |
60 | - [Documentation | Flutter](https://flutter.dev/docs)
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/GSoC-2017/Pratik_Dhanave_GoCloud.md:
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1 | # GoCloud
2 | ## Student Info
3 | * Name - Pratik Dhanave
4 | * Email - i.pratikdhanave@gmail.com
5 | * GitHub profile - https://github.com/PratikDhanave
6 |
7 | ### Project Abstract
8 | gocloud is a standard library for Go that abstracts away differences among multiple cloud providers. The gocloud compute package is designed to make it easy to provision and work with VMs. Developing golang package for interacting with Google compute engine and AWS EC2 using a unified API.
9 |
10 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5679856277782528)
11 |
12 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1ZmVHT4vgxPcft7XZj8dInYof51uu32hWEkszuAZUy3E/edit)
13 |
14 | ### [GitHub Organization Repo](https://github.com/scorelab/gocloud-v2/)
15 |
16 | ### [GitHub Personal Repo](https://github.com/PratikDhanave/gocloud-v2)
17 |
18 | ### [Commits during GSoC 2017](https://github.com/scorelab/gocloud-v2/commits/master?author=PratikDhanave)
19 |
20 | ### [Project Demo Video](https://www.youtube.com/playlist?list=PLOdfztY25UNnxK_0KRRHSngJIyVLDKZxq)
21 |
22 | ### [Project Wiki](https://github.com/PratikDhanave/gocloud-v2/wiki)
23 |
24 | ### [GSoC Blog](https://pratikdhanave.github.io/blog/2017/08/27/gocloud-google-summer-of-code-final-report/)
25 |
26 | ### Work Summary
27 | For GSoC 2017 I have initiated the project from scratch and added support for AWS and Google cloud platform (GCP).
28 |
29 | Support for following services were added,
30 | - Compute
31 | - Storage
32 | - Container
33 | - Load Balancing
34 | - DNS
35 | - for authentication with AWS cloud I implemented signature-version-2 and signature-version-4 method.
36 | - for authentication with Google cloud I implemented OAuth client and service account authentication method.
37 |
38 | Along with development of APIs, I added documentation and unit tests.
39 | Created tutorial series.
40 |
41 | ### What Covered
42 |
43 | - Developed APIs for compute, Storage, Container, Load Balancing and DNS services.
44 |
45 | 1. AWS
46 | - EC2
47 | - AWS Storage Service
48 | - Amazon Elastic Container Service(ECS)
49 | - AWS Elastic Load Balancing
50 | - AWS Route5S
51 | 2. GCP
52 | - Compute(GCE)
53 | - Google Storage Service
54 | - Google Container Service (Container)
55 | - Google Elastic Load Balancing
56 | - Google Cloud DNS
57 |
58 | - Added unit tests for developed APIs.
59 | - Added documentation for developed APIs.
60 | - Added examples for developed APIs.
61 | - Added Developer API documentation using godoc for developed APIs.
62 | - Created gocloud getting started video tutorial series.
63 |
64 | ### What left
65 |
66 | - Additional APIs can be added as improvements in next versions.
67 | - Potential to add more cloud providers.
68 |
69 | ### Reference
70 |
71 | - [Aws-documentation](https://aws.amazon.com/documentation/)
72 | - [Aws-signature-version-2](http://docs.aws.amazon.com/general/latest/gr/signature-version-2.html)
73 | - [Aws-signature-version-4](http://docs.aws.amazon.com/general/latest/gr/signature-version-4.html)
74 | - [Google-cloud-documentation](https://cloud.google.com/docs/)
75 | - [AWS and Google Cloud platform comparison](https://cloud.google.com/docs/compare/aws/)
76 |
77 |
78 |
79 |
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/GSoC-2022/05-Saksham-Sharma-CodeLabz-Frontend-Improvements.md:
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1 | # Project Name
2 |
3 | CodeLabz: frontend improvements
4 |
5 | # Project Abstract
6 |
7 | CodeLabz is a platform where the users can engage with online tutorials and the organizations can create tutorials for the users. It is developed with ReactJS and Google Firebase. The main objectives of this project are: improve the frontend of the CodeLabz platform, add new features for enhancing user experience, provide testing, and improve documentation.
8 |
9 | ## [GSoC Project Page](https://summerofcode.withgoogle.com/programs/2022/projects/J5Q0vFr1)
10 |
11 | ## [GSoC Project Proposal](https://drive.google.com/file/d/1uqipC535NGahpR4VZIDYCk4vsuDWlLFS/view?usp=sharing)
12 |
13 | ## [GitHub Organization Repo](https://github.com/scorelab/Codelabz)
14 |
15 | ## [GitHub Personal Repo](https://github.com/sakkshm26/Codelabz)
16 |
17 | ## [Commits during GSoC 2022](https://github.com/scorelab/Codelabz/pulls?q=author%3Asakkshm26)
18 |
19 | | PR Link | Description | Issue Link |
20 | | ----------------------------------------------------- | ----------- | ------------------------------------------------------- |
21 | | [#307](https://github.com/scorelab/Codelabz/pull/307) | Merged ✅ | [#292](https://github.com/scorelab/Codelabz/issues/292) |
22 | | [#312](https://github.com/scorelab/Codelabz/pull/312) | Merged ✅ | [#292](https://github.com/scorelab/Codelabz/issues/292) |
23 | | [#319](https://github.com/scorelab/Codelabz/pull/319) | Merged ✅ | [#292](https://github.com/scorelab/Codelabz/issues/292) |
24 | | [#326](https://github.com/scorelab/Codelabz/pull/326) | Merged ✅ | [#292](https://github.com/scorelab/Codelabz/issues/292) |
25 | | [#339](https://github.com/scorelab/Codelabz/pull/339) | Merged ✅ | [#292](https://github.com/scorelab/Codelabz/issues/292) |
26 | | [#347](https://github.com/scorelab/Codelabz/pull/347) | Merged ✅ | [#292](https://github.com/scorelab/Codelabz/issues/292) |
27 | | [#377](https://github.com/scorelab/Codelabz/pull/377) | Merged ✅ | [#352](https://github.com/scorelab/Codelabz/issues/352) |
28 | | [#423](https://github.com/scorelab/Codelabz/pull/423) | Merged ✅ | [#422](https://github.com/scorelab/Codelabz/issues/422) |
29 | | [#439](https://github.com/scorelab/Codelabz/pull/439) | Merged ✅ | [#422](https://github.com/scorelab/Codelabz/issues/422) |
30 | | [#445](https://github.com/scorelab/Codelabz/pull/445) | Merged ✅ | [#422](https://github.com/scorelab/Codelabz/issues/422) |
31 |
32 | ## [Project Demo Video](https://youtu.be/ro7bVbgWIm4)
33 |
34 | ## [Project Wiki](https://github.com/scorelab/Codelabz/wiki)
35 |
36 | ## [GSoC Blog](https://medium.com/@sakkshm/gsoc22-with-score-lab-df3fee04e679)
37 |
38 | # Work Summary
39 | I worked on improving the frontend of the CodeLabz platform, developed the user dashboard and UI components for user settings with ReactJS, added cypress tests, worked with Firebase Emulator, and integrated new components with the Firebase backend.
40 |
41 | # What Covered
42 | - Developing the new UI components
43 | - Creating a user dashboard
44 | - Adding Stories with Storybook
45 | - Creating cypress tests
46 | - Integrating the components with Firebase
47 |
48 | # What left
49 | Firebase functions for some of the new features.
50 |
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/GSoC-2017/Shehan_Weerakkody_OpenDF_Image_Annotation_And_DescribeModule.md:
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1 | # Project Name
2 | OpenDF - Image annotation and describe module
3 |
4 | ## Student Info
5 | Name : Shehan Weerakkody
6 | University : University of Colombo School of Computing
7 | E-Mail : shehanweer123@gmail.com
8 |
9 | ### Project Abstract
10 | Nowadays, digital forensic tools are often used to investigate cyber crimes, which are becoming more and more frequent. OpenDF is a tool for forensic analysis of disk data. By having an image description module that automatically recognises objects from the large amount of images that are available in a disk, it saves manual work for an investigator. Basically, there is a need to maintain all the objects detected in an image in a Database and make it searchable using keywords. Moreover, This project builds a REST API for image annotation.
11 |
12 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6176600054824960)
13 |
14 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1zIJYMrAOB18vv1cQM5rMUfw6zb4Tco50pu8Rn1nmvJA)
15 |
16 | ### [GitHub Organization Repo](https://github.com/scorelab/OpenDF)
17 |
18 | ### [GitHub Personal Repo](https://github.com/ShehanWeerakkody/OpenDF)
19 |
20 | ### [Commits during GSoC 2017](https://github.com/scorelab/OpenDF/commits/describe-image)
21 |
22 | ### [Project Demo Video](http://LinkToDemoVideo)
23 |
24 | ### [Project Wiki](https://github.com/ShehanWeerakkody/OpenDF/wiki/Image-Annotation-Module)
25 |
26 | ### [GSoC Blog](http://GSoCBlog)
27 |
28 | ### Work Summary
29 | During the last three months in GSoC 2017 I have implemented an image annotation REST API for the OpenDF digital forensic tool. First of all I implemented a basic image recognition model using different pre-trained Convolutional Neural Network models such VGG16, VGG19 and RestNet50. With use of Flask python framework I implemented a REST API which takes image file UUID as the input and it returns the predictions as a JSON response.
30 |
31 | Then we use the Google Cloud Vision API to annotate the given image. This has a huge amount of performance improvement. The image annotation results will return within 3 seconds. Finally we Dockerized the application. Using this image annotation module users can predict the image content. Also, Investigation organizations can use following models based on their requirements by simply editting the properties.conf file.
32 |
33 | VGG16
34 | VGG19
35 | ResNet
36 | GoogleCloudAPI
37 |
38 | ### What Covered
39 | Implemented a base Image Recognition Model using pre trained models.
40 | Implemented a Flask bare bone skeleton for REST API.
41 | Developed the REST API to take a file UUID and send the predictions as a JSON response.
42 | Handle REST API Exceptions.
43 | Use Google Cloud Vision API for Image Annotation module.
44 | Dockerized the application.
45 |
46 | ### What left
47 | Need to implement an Elastisearch to get the actual file path for a given UUID.
48 |
49 | ### Reference
50 | https://keras.io/
51 | https://www.tensorflow.org/
52 | https://medium.com/@ageitgey/machine-learning-is-fun-part-3-deep-learning-and-convolutional-neural-networks-f40359318721
53 | http://www.image-net.org/challenges/LSVRC/
54 | https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/
55 | https://cloud.google.com/vision/docs/
56 |
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/GSoC-2017/Priya_Pappachan_OpenIoE_Implement_Bidirectional_Publish_Subscribe_Behaviour.md:
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1 | # Project Name
2 |
3 | OpenIoE - Implement bidirectional publish-subscribe behaviour
4 |
5 | ## Student Info
6 |
7 | - Name : Priya Pappachan
8 | - Email : priyapappachan010@gmail.com
9 |
10 | ### Project Abstract
11 |
12 | OpenIoE is an open source project capable of retrieving and storing data from sensors with a web frontend to monitor and manage this sensor data. Currently, OpenIoE cannot act as a publisher and therefore cannot send control messages to sensors so as to change their settings. Therefore a user of OpenIoE cannot trigger a data collection from connected sensors immediately or in the future. Extending OpenIoE to support bi-directional pub-sub will enable it to send data collection requests to sensors. With this feature, OpenIoE will able to actuate sensors as necessary and thus act as a central platform from which a user can control their sensors as necessary.
13 |
14 |
15 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5416938311254016)
16 |
17 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1XEJdqeMuNi51oeE49VmP2skFcLf9zB9SWev2GBFsvgw/edit?usp=sharing)
18 |
19 | ### [GitHub Organization Repo](https://github.com/scorelab/OpenIoE)
20 |
21 | ### [GitHub Personal Repo](https://github.com/priyapappachan/OpenIoE)
22 |
23 | ### [Commits during GSoC 2017](https://github.com/scorelab/OpenIoE/commits?author=priyapappachan)
24 |
25 | ### [Project Demo Video](https://drive.google.com/file/d/0B8TApYOf5vh0LW9UUVpYV2NrN0U/view)
26 |
27 | ### [Project Wiki](https://github.com/priyapappachan/OpenIoE/wiki/OpenIoE)
28 |
29 | ### Work Summary
30 |
31 | The bidirectional publish-subscribe behaviour in OpenIoE is implemented using rest endpoint and Artemis message broker with the support of MQTT protocol. MQTT Topic Wildcards can be used for topic filters when subscribing to MQTT messages. These wildcards are useful if a client wants to receive messages for different topics with similar structure at once. The user can create a new subscription in OpenIoE to subscribe to topics of device sensors. The messages that are received on the subscribed topics are stored in Cassandra. The user can also create publications in OpenIoE to publish data to topics. The data can be published using HTTP or MQTT protocols. All data messages that are used for publish/subscribe are stored in Cassandra keyspace whereas sensor and device information are stored in MySQL database. An android application is developed to test the publish behavior by sending GPS sensor data from mobile device to other devices through OpenIoE. An MQTT client application can be used to subscribe to the required topics and to receive messages.
32 |
33 |
34 | ### What Covered
35 |
36 | - Added bidirectional publish-subscribe behavior to OpenIoE
37 | - Topic filter implementation for subscription to messages
38 | - Developed an Android application to test OpenIoE with GPS sensor data
39 | - Detailed documentation on installation, usage and concepts in OpenIoE
40 |
41 | ### What left
42 |
43 | - Need to implement authentication for Publish Subscribe
44 |
45 | ### Reference
46 |
47 | - [MQTT client](https://github.com/fusesource/mqtt-client)
48 | - [JHipster](https://jhipster.github.io/)
49 | - [Artemis message broker](https://activemq.apache.org/artemis/)
50 |
51 |
52 |
53 |
54 |
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/GSoC-2020/Hansika-Wanniarachchi-Ukiyo-A-push-based-container-update-tool.md:
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1 | # Ukiyo - A push based container update tool
2 |
3 | ## Student Info
4 |
5 | * Name - Hansika Wanniarachchi
6 | * Email - hansijw76@gmail.com
7 | * University - University of Moratuwa, Sri Lanka
8 | * GitHub Profile - https://github.com/HansikaW
9 | * Medium - https://medium.com/@HansikaWanniarachchi
10 |
11 | ### Project Abstract
12 |
13 | ukiyo is a push based container update tool that acts as a watcher for docker containers. It will run alongside with the other running containers and will be responsible for automatic updates and schedule container deployment time. Push events will be received from ukiyo via the docker registry webhook to updated the containers. ukiyo itself runs as a Docker container or else runs as a separate background process a daemon.
14 |
15 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5966531676078080)
16 |
17 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1Oc37N0PLzrosCgDIjE3lNB3E0eYa22ZIIHJ8QsYsbS8/edit?usp=sharing)
18 |
19 | ### [GitHub Organization Repo](https://github.com/leopardslab/ukiyo)
20 |
21 | ### [GitHub Personal Repo](https://github.com/HansikaW/ukiyo)
22 |
23 | ### [Commits during GSoC 2020](https://github.com/leopardslab/ukiyo/commits?author=HansikaW)
24 |
25 | ### [Project Demo Video](https://drive.google.com/file/d/1AsjIcbLw9I8kf_h2IHG2exAr12GpW5Gs/view?usp=drivesdk)
26 |
27 | ### [GSoC Blog](https://medium.com/@HansikaWanniarachchi/gsoc-2020-work-summary-70c9db9a5e1c)
28 |
29 | ### [Project Wiki](https://github.com/HansikaW/ukiyo/wiki)
30 |
31 | ### Work Summary
32 |
33 | This project was conducted in order to implement a lightweight agent run on the docker which facilitate push-based solution for automating container deployment. Push events will be received from ukiyo via webhooks. Docker registries provide webhooks to subscribe and listen to image changes. Locally running images will change only after such an event is received by ukiyo. Ukiyo support for the multiple Docker Registries and It will pull the latest images and make the deployment according to the instruction. ukiyo will automatically complete the deployment on the fly or at the scheduled time and all deployment events loaded into own cache. Ukiyo support to expose multiple external ports and maintain a log file thus users can view the cache data using CLI command. Not only that, but the user can view the status of the scheduled events in a table view. ukiyo container run alongside with the other running containers.
34 |
35 | ### What Covered
36 | - Implemented webhook listner
37 | - Implemented ukiyo push manager which involved with webhook configuration
38 | - Implemented docker image puller and exsting image remover
39 | - Implemented the deployment time scheduler
40 | - Implemented ukiyo REST API
41 | - Implemented container manager feature
42 | - Created ukiyo-agent as a lightweight docker image
43 | - Added test cases and feature validation
44 | - Documentation - ukiyo wiki
45 | - Added GitHub Actions
46 |
47 | ### What left
48 |
49 | - Implementation of ukiyo dashboard
50 | - Complete more of the testing for the project
51 | - Implement the scheduler feature that will be configured for all the time zones
52 |
53 | ### Reference
54 |
55 | - [Docker Documentation](https://docs.docker.com/)
56 | - [Docker Swam](https://docs.docker.com/engine/swarm/)
57 | - [Go DockerClient](https://github.com/fsouza/go-dockerclient)
58 |
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/GSoC-2019/Poornima-Rangoda-ChainKeeper.md:
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1 | # ChainKeeper - Optimized Analytical Interface for ChainKeeper
2 |
3 | ## Student Info
4 | - Name : Poornima Kavindi Rangoda
5 | - Email : poornima.k.rangoda@gmail.com
6 | - University : Monash University Australia
7 | - GitHub handle : https://github.com/poornimarangoda
8 |
9 | ### Project Abstract
10 | ChainKeeper Analysis Library is a platform where user can analyse the blockchain data which are the outputs of the ChainKeeper parse. From this implemented ChainKeeper Analysis Libraries users able to retreive Blockchain, Block, Transaction, Input, Output data and Address data by accessing the python library called **chainkeeper_analysis.so**.
11 |
12 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4719437733691392)
13 |
14 | ### [GSoC Project Proposal](https://storage.googleapis.com/summerofcode-prod.appspot.com/gsoc/core_project/doc/4547182600912896_1554647600_GSoC_2019-ChainKeeper-Final_proposal.pdf?Expires=1566762011&GoogleAccessId=summerofcode-prod%40appspot.gserviceaccount.com&Signature=OOpo0J%2F7PrWR13zGlpNKC%2Ft8HFBpUQijT8DnGhX5MmcyQ998sIpiaJolXhZkTPieryuggR7bz0rtwxFjZcXMDF0Tyz8ETM0fTaQZ%2BzhPa96h25P99rHQJHKfrhSmZAOetgSY2m4EWVHwBXLw5VOxYqMoMvy7ZFEH26mrhJXQqB7jefkZkSpAHMG%2BjxpZhCo9B9tK8AmUzBaVSqeSG3mfLrwp%2BG7UENbbKAX4CjMNIkrpeqnTvZae6PCe6eUEaQtZ09iN%2FjbL3%2B9TQ1iSFiVFY9zFw%2BopQAJSiSK%2FYygQbLs0ecSEe%2BRhm9vfo8VwhRKo1H5v81DB4k0srTSVGYz6ug%3D%3D)
15 |
16 | ### [GitHub Organization Repo](https://github.com/scorelab/ChainKeeper)
17 |
18 | ### [GitHub Personal Repo](https://github.com/poornimarangoda/ChainKeeper)
19 |
20 | ### [Commits during GSoC 2019](https://github.com/scorelab/ChainKeeper/pulls?utf8=%E2%9C%93&q=is%3Apr+is%3Aclosed+author%3Apoornimarangoda)
21 |
22 | ### [Project Wiki](https://github.com/scorelab/ChainKeeper/tree/master/analysis-library/gdoc)
23 |
24 | ### Work Summary
25 | During the GSoC 2019 I have developed an analytical interface for the blockchain which is useful for the analysis activities doing for the blockchains. Basically it has two types of interfaces. Blockchain data and Addresses.In Blockchain data it contains data classes for Blockchain, Block, Tx, Input and Output. For the Address for the moment there is a Address class. All these classes have defined inside the PYTHON_MODULE method of C++ boost library. From this PYTHON_MODULE we can create a shared library supports to the python. Boost enables to create python data structures in C++. Therefore, library methods can return data which are compatible with python environment. Then this shared python library can be used in Jupyter interface to access the Core Blockchain Data.
26 |
27 | ### What Covered
28 | - Implementation of the Analysis Library architecture
29 | - Implement the analytical interface for the blockchain dataset
30 | - Implement the analystical interface for the address
31 | - Connect the analytical interface with the output of the parser data
32 | - Optimized data retrieving queries based on performance
33 | - Documentaions of the Analysis Library
34 | - Testing the project
35 |
36 | ### What left
37 | - Add new methods for the Address class interface
38 | - Performance evaluation based on the file based system for parser data
39 |
40 | ### Reference
41 | - [BlockSci Research paper](https://arxiv.org/abs/1709.02489)
42 | - [Boost C++ Library](https://www.boost.org/doc/libs/1_39_0/libs/python/doc/index.html)
43 | - [C++ Standards](https://www.tutorialspoint.com/cplusplus/cpp_multithreading.htm)
44 |
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/GSoC-2019/Lakindu-Gunasekara-CLocal-Azure.md:
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1 | # Project Name
2 |
3 | CLocal-Azure
4 |
5 | ## Student Info
6 |
7 | * Name - Lakindu Gunasekara
8 | * Email - lakindu1995@gmail.com
9 | * University - Informatics Institute of Technology, Sri Lanka
10 | * GitHub profile - https://github.com/lakindu95
11 | * LinkedIn profile - https://www.linkedin.com/in/lakindu-gunasekara
12 |
13 | ### Project Abstract
14 |
15 | CLocal Azure is an local emulator to test or mock the Azure Services without deploying into Azure Platform, and provide easiness for developer by reducing the cost. Our goal is to have all azure possible local services into one single project and provide easiness to run a whole azure project locally. Currently the project supports up to 8 services and 4 of them were written during the GSoC 2019 period.
16 |
17 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5495000714969088)
18 |
19 | ### [GSoC Project Proposal](https://drive.google.com/file/d/1qoZ0FixFzzqqG0AczDo1sxSultLNMqls/view?usp=sharing)
20 |
21 | ### [GitHub Organization Repo](https://github.com/cloudlibz/clocal-azure)
22 |
23 | ### [GitHub Personal Repo](https://github.com/lakindu95/clocal-azure)
24 |
25 | ### Commits during GSoC 2019
26 |
27 | * [Pull Request 1](https://github.com/cloudlibz/clocal-azure/pull/56)
28 | * [Pull Request 2](https://github.com/cloudlibz/clocal-azure/pull/57)
29 | * [Pull Request 3](https://github.com/cloudlibz/clocal-azure/pull/58)
30 |
31 | ### [Project Demo Video](https://www.youtube.com/playlist?list=PLbd4A5tkijhDGRQp6BcrwGhRvS0TU8zhQ)
32 |
33 | ### [Project Wiki](https://github.com/cloudlibz/clocal-azure/wiki)
34 |
35 | ### [GSoC Blog](https://medium.com/tag/clocal-azure/latest)
36 |
37 | ### Work Summary
38 |
39 | During the period of 2019, I have been adding more services to CLocal Azure project. The added services are mentioned below and one of the services are written from scratch covering the basic functioanlities.
40 |
41 | Services added,
42 | - Azure CLI
43 | - Azure SQL Server
44 | - Azure KeyVault
45 | - Azure Search (Built from scratch)
46 |
47 | To add value to the services above, a video demo series has been added to the clocal azure youtube playlist and weekly medium articles were written to give the updates of the progress. For more information regarding the summary please see the link below.
48 |
49 | * [GSoC Summary](https://medium.com/@lakindu1995/gsoc-2019-summary-fbafcb351cdc)
50 |
51 |
52 | ### What Covered
53 |
54 | For the GSoC period, I have covered the following services.
55 |
56 | 1. Azure CLI (cli start, cli stop)
57 | 2. Azure SQL Server (sql start, sql stop)
58 | 3. Azure KeyVault (vault start, vault stop)
59 | 4. Azure Search (search start, search stop)
60 |
61 | - To run all services at once, added a shell script (sh compose.sh)
62 |
63 | ### What left
64 |
65 | - Add more services to emulate.
66 | - Add more features on Azure Search service.
67 |
68 | ### Reference
69 |
70 | - [Quickstart: Create an Azure Search index in Node.js](https://docs.microsoft.com/en-us/azure/search/search-get-started-nodejs)
71 | - [Search Documents (Azure Search Service REST API)](https://docs.microsoft.com/en-us/rest/api/searchservice/Search-Documents)
72 | - [CREATE INDEX (Transact-SQL)](https://docs.microsoft.com/en-us/sql/t-sql/statements/create-index-transact-sql?view=sql-server-2017)
73 | - [How to run HashiCorp Vault (Secrets Management) in Docker](https://www.melvinvivas.com/secrets-management-using-docker-hashicorp-vault/)
74 |
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/GSoC-2018/Janagan_Siva-Drola_Backend.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 |
3 | Drola - Backend with Realtime Database
4 |
5 | ## Student Info
6 |
7 | * Name : Janagan Sivagnanasundaram
8 | * LinkedIn : https://www.linkedin.com/in/janagan-sivagnanasundaram-806a755a/
9 | * Github : https://github.com/janagan1993
10 | * Email : janagangsoc@gmail.com
11 |
12 | ### Project Abstract
13 |
14 | Redesign and Implement the DroLa system as a real time database based system instead of WebSocket based system. Introduced bi-directional end-to-end secured communication between sensor nodes and Application Server. A new packet structure with the binary level message header, header parser and message parsers to make the system more general to use as a general tracking system.
15 |
16 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4693073825628160)
17 |
18 | ### [GSoC Project Proposal](https://storage.googleapis.com/summerofcode-prod.appspot.com/gsoc/core_project/doc/6649662954536960_1522148301_GSOC_2018-Proposal.pdf?Expires=1534334000&GoogleAccessId=summerofcode-prod%40appspot.gserviceaccount.com&Signature=OKFD9hJ3%2FWlvqHkNsN2ELMEwfiQreJhMNwFqBeMQuD2%2B1sBrVuBndXQW1xhgwD0EFbInhjjbPbMNfmb%2BOlLMAiGLGhOWnv6t0dmGuIWnSLiJl4hiy33px6Zq1XPMmrq6Pz5GRc8dS%2F3l181tFY0IPzWzjU4LSxBHjmgDsOCrOqVZvszAWGucvjis8InPAnBA%2FiMNmWeSuY7PRMInuC3WHLhzgr5mZrYWHjdMpntee2SaxNaGafDKtyylh2X2wovDAe2%2B3Emne0cP2yaxU336TPIFeMrJoqnTBzOJh5VUPG5q4SI0AcqtOn9eN%2F0ruTLtJxovUPuE%2B5WV%2ByLO9KBs9g%3D%3D)
19 |
20 | ### [GitHub Organization Repo](https://github.com/scorelab/drola/tree/general-develop)
21 |
22 | ### [GitHub Personal Repo](https://github.com/janagan1993/drola/tree/drola_generalized)
23 |
24 | ### [Commits during GSoC 2018](https://github.com/scorelab/drola/commits/general-develop)
25 |
26 |
27 |
28 |
29 |
30 | ### [GSoC Blog](https://letstartjana.blogspot.com/)
31 |
32 | ### Work Summary
33 |
34 | * Integrated Mongo change stream replica database to notify Sensor node changes realtime.
35 | * Bi-Directional communication using a new encription library(AES-256CBC) for Application server, LoRa Gateway and Sensor Node.
36 | * Design and Implement a message protocol using byte level data encoding which suitable for LoRa packet limitation and Implement for Sensor Nodes, Lora Gateway and Application Server.
37 | * Message Parser to give a general Application API.
38 |
39 | ### What Covered
40 |
41 | * Real Time Database Integration .
42 | * Bi-Direction secured End to End communication from Sensor Node to Application Server.
43 | * Design and Implemented message Protocol.
44 | * Partially implemented Message Message Parser.
45 |
46 | ### What left
47 |
48 | * Complete Message parser.
49 |
50 | ### Reference
51 |
52 | - [MongoDB 3.6 change streams example with Node.js](https://medium.com/@thakkaryash94/mongodb-3-6-change-streams-example-with-node-js-2b9a85652c50)
53 | - [An Introduction to Change Streams](https://www.mongodb.com/blog/post/an-introduction-to-change-streams)
54 |
55 | - [DroLa : Master branch(Previous Project) ](https://github.com/scorelab/drola)
56 |
57 | - [AES for microcontrollers](https://github.com/spaniakos/AES)
58 |
59 | - [Node js Guides](https://nodejs.org/en/docs/guides/)
60 |
61 | - [LoRa WAN : MOst widely Spreaded LPWAN ](https://lora-alliance.org/about-lorawan)
62 |
63 | - [LoRa Device : E45-TTL-100 ](https://quadmeup.com/wp-content/uploads/2017/09/E45-TTL-100_Datasheet_EN_v1.2.pdf)
64 |
65 |
66 |
67 |
68 |
69 |
70 |
71 |
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/GSoC-2022/07-Drifter-CrawlerX-Extend-CrawlerX-for-multi-protocols.md:
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1 | # CrawlerX - Extend CrawlerX for Multi Protocols
2 |
3 | ## Student Info
4 | * Name - Chiran Malith Karunasinghe
5 | * Email - chirankarunasinghe3@gmail.com
6 | * GitHub Profile - https://github.com/DrifterKaru
7 |
8 | # Project Abstract
9 |
10 | Web scraping, commonly referred to as web scraping, is a method of programmatically traversing a collection of web pages and extracting data that is useful for data analysis of web-based data. In the current project, CrawlerX is - distributed extensible scalable web crawling platform: platform that we can use to crawl web URLs in a distributed fashion with different types of protocols. Web scraping, commonly referred to as web scraping, is a method of programmatically traversing a collection of web pages and extracting data, which is useful for data analysis using web-based data. Using a web crawler, you can mine data about a set of products, get lots of textual or quantitative data to use, get data from sites that don't have an official API, or just satisfy your own personal curiosity. However, when using the CrawlerX platform, users may encounter UX issues and feature gaps that are useful for data analysis. Also, such tools will mostly be useful for Darkweb analysis and gathering malicious and criminal records to investigate law enforcement duties.
11 |
12 | 
13 |
14 |
15 | ## [GSoC Project Page](https://summerofcode.withgoogle.com/programs/2022/projects/9x4krJ3S)
16 |
17 | ## [GSoC Project Proposal](https://drive.google.com/file/d/1Ei4Fm_Kpl6m6b4yggwzu1weT7fuYEBwM/view)
18 |
19 | ## [GitHub Organization Repo](https://github.com/leopardslab/CrawlerX)
20 |
21 | ## [GitHub Personal Repo](https://github.com/DrifterKaru/CrawlerX)
22 |
23 | ## [Commits during GSoC 2022](https://github.com/leopardslab/CrawlerX/commits?author=DrifterKaru)
24 |
25 | # Work Summary
26 |
27 | Majorly this project covered adding multi protocol support for CrawlerX by integrating Tor Proxy and relevant proxy configurations in Scrapy and other inner components. When a user starts the CrawlerX application executing docker compose command Tor proxy starts default and ready to serve onion crawl requests on demand. Also, with the CrawlerX web application, users can schedule any onion URLs in all the scheduling types that CrawlerX provides by selecting Tor_Onion crawling type. Refer following images for the basic idea of the tasks. Moreover, few useful spiders was added to the Scrapy server that are very important in terms of data analysis and researches.
28 |
29 |
30 | - Web Application Option
31 |
32 | 
33 |
34 | - Tor Proxy
35 |
36 | 
37 |
38 |
39 | # What Covered
40 |
41 | - Integrating Tor Proxy with relevant configurations
42 | - Adding Srapy Tor onion spider
43 | - Adding Scrapy Research Gate spider
44 | - Adding Medium article spider
45 | - Secured endpoints to fetch dark web crawled data
46 | - Schedule crawler jobs for dark web URLs
47 | - Testing Tor onion multi protocol support
48 | - Did relevant database and Celery component level changes
49 | - Update Readme file
50 |
51 |
52 | # Reference
53 |
54 | 1. [Tor Project](https://www.torproject.org/)
55 | 2. [Docker Compose](https://docs.docker.com/compose/)
56 |
--------------------------------------------------------------------------------
/GSoC-2017/Amila_Karunathilaka_Drone_Comm.md:
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1 | # Drone Comm
2 |
3 | ## Student Info
4 | * Name - K. A. De Zoysa Karunathilaka
5 | * Country - Sri Lanka
6 | * University - University of Moratuwa
7 | * Field of study - Computer Science & Engineering
8 | * GitHub - https://github.com/Amila1991
9 | * Email - amilakarunathilaka.12@cse.mrt.ac.lk
10 | * Contact No. - +94779386412
11 |
12 | ### Project Abstract
13 | Drone Comm is community platform which is help to meet drone owners and drone required people. using this platform drone required people can request drone from the community. And drone pilot who has drone can be hire their drones and can get income. In this case drone requester publish he/she task(purpose) description and request drone through this community platform. These open task request forward to drone pilot and drone pilot bid for these task.
14 |
15 | ### [GSoC Project Proposal](https://docs.google.com/a/cse.mrt.ac.lk/document/d/1Pj5INineHwD-yIHs4ibBRlRCJnYPRDlgZC8zREV_nr8/edit?usp=sharing)
16 |
17 | ### [GitHub Organization Repo](https://github.com/scorelab/Drone-Comm)
18 |
19 | ### [GitHub Personal Repo](https://github.com/Amila1991/Drone-Comm)
20 |
21 | ### [Commits during GSoC 2017](https://github.com/scorelab/Drone-Comm/commits/master)
22 |
23 | ### [Project Wiki](https://github.com/Amila1991/Drone-Comm/wiki)
24 |
25 | ### [GSoC Blog](https://medium.com/@amilakarunathilaka.12/gsoc-experience-e823aa4e0165)
26 |
27 | ### [API Documentation](https://drive.google.com/open?id=1hbae5COEZc82dPIb3Jp3H5eDjJp8n1SFj0j6_l1avbU)
28 |
29 | ### Work Summary
30 | Developed Drone Comm as project of Google Summer of Code 2017.
31 |
32 | This is a new concept introduced by SCoRe lab organization. First I started to design project architecture. In this case I decided to implement two separate components as backend and frontend. In implementation phase I developed the backend initially. Drone Comm backend has RESTful APIs. These APIs expose Drone Comm services and frontend web application consumes these backend REST APIs.
33 |
34 | Nodejs is used for backend implementation and backend REST API structure built using Express Framework. I used MongoDb to persist Drone Comm data like user detail, drone detail & drone task detail. This is the setting up of Drone Comm backend.
35 |
36 | Angular 4 is used to develop frontend web application. This frontend web application has Drone Comm user interfaces. These interfaces communicate with Drone Comm Backend.
37 |
38 | Above mentioned areas are covered in this GSoC project throughout the period.
39 |
40 | ### What Covered
41 | * System architecture design
42 | * Backend services implementation
43 | * Backend services using MongoDB to retrieve and persist system data. (Used Mongoose ORM to communicate between MongoDB database and backend REST API services).
44 | * JSON Web Token(JWT) used to manage Drone Comm System authentication and authorization.
45 | * Queue based message passing pattern to notify newly added drone tasks to drone pilots implementation.
46 | * Frontend implementation including login, registration, drone create, create drone task ...etc. These UI components are implemented in frontend web application.
47 |
48 | ### What left
49 | * Drone pilots bid or response for drone tasks.
50 | * Private chat between users.(most of time private chat between drone client and drone pilots).
51 | * Do Payment through Drone Comm.
52 |
53 | ### Reference
54 | * [Nodejs Express Framework](https://expressjs.com)
55 | * [Angular 4 Framework](https://angular.io)
56 | * [Mongoose ORM](http://mongoosejs.com)
57 |
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/GSoC-2017/Yasanka_Horawalavithana_BellyDynamic_A_Scalable_Data_Structure_To_Handle_Onlin_And_Offline_Dynamic_Graph_Objects.md:
--------------------------------------------------------------------------------
1 | # Project Name
2 | BellyDynamic: A scalable data structure to handle online and offline dynamic graph objects
3 |
4 | ## Student Info
5 | Yasanka Sameera Horawalavithana
6 |
7 | ### Project Abstract
8 | A social network evolves over time through the creation or deletion of ties among a set of actors.The volatile nature of social ties provides a strong platform to identify the dynamic network structure. This change of structural patterns can be well represented by the existence of dynamic graph objects Further, they can be enriched with the temporal information of social ties to define the recurrent subgraphs of interest. This would yield important insights about the correlation between patterns of ties in a social network. Major contribution of our study is the proposal and implementation of a scalable data structure to handle online and offline dynamic network objects. Hence, it can be used for large scale graph modeling, analysis and visualization purposes.
9 |
10 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#6496645247139840)
11 |
12 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1yMrNdxqeOQFSC3YMYAsw2HHhSG_gBjWZsRj5mP4f7a0/)
13 |
14 | ### [GitHub Organization Repo](https://github.com/scorelab/BellyDynamic)
15 |
16 | ### [GitHub Personal Repo](https://github.com/SamTube405/BellyDynamic)
17 |
18 | ### [Commits during GSoC 2017](https://github.com/scorelab/BellyDynamic/commits/master)
19 |
20 | ### [Project Wiki](https://github.com/SamTube405/BellyDynamic/wiki)
21 |
22 | ### Work Summary
23 | BellyDynamic is wrapper on top of Snap: a popular graph processing framework, to capture multi-graphs. It handle dynamic updates to a graph object by maintaining all the states in a multi-graph format, annotated by node and edge level attributes. BellyDynamic was started from the scratch in my personal github repo, and consequently merged to organization github repo through PR and code reviews. The Wiki page (referred) would provide up-to-date information about the status of the project including 'How-to' articles via examples.
24 |
25 | ### What Covered
26 | - Implemented basic module structure to handle multi-graphs
27 | - Implemented basic classes to handle dynamic graphs in multi-graph format
28 | - Implemented advanced classes to create graph objects from the scratch, and load graph datasets to an object
29 | - Implemented general strategies to define user-level schemas
30 | - Implemented container structure to store both node and edge attributes
31 | - Implemented basic operations on top of graph attributes
32 | - Implemented graph structural properties including centrality metrics
33 | - Implemented automated continuous deployment strategies
34 |
35 | ### What left
36 | - Need to implement advanced graph structural properties for dynamic/ multi graphs. Current setup only considers multi-graph as a collection of graphs. Graph structural properties that have been implemented so far would capture information related to static graphs.
37 | - Need to implement a distributed data structure to handle fast dynamic graph updates.
38 | - Need to implement an efficient index structure to query annotated graph information.
39 | - Need to design a framework that supports cross-libraries (e.g. snap, networkx, igraph, Boost)
40 |
41 | ### Reference
42 | [1] Leskovec, Jure, and Rok Sosič. "Snap: A general-purpose network analysis and graph-mining library." ACM Transactions on Intelligent Systems and Technology (TIST) 8.1 (2016): 1.
43 |
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/GSoC-2020/Thisura-Rathnayake-CodeLabz.md:
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1 | # CodeLabz
2 |
3 | ## Student Info
4 |
5 | * Name - Thisura Rathnayake
6 | * Email - seniyaratnayake@gmail.com
7 | * GitHub Profile - https://github.com/thisuraseniya
8 | * Medium - https://medium.com/@seniyaratnayake
9 | * Twitter - [@seniya23](https://twitter.com/seniya23)
10 |
11 | ### Project Abstract
12 | CodeLabz is a platform that provides users (organisations, individuals) to create and engage in online tutorials. It is developed using Google Firebase and Firestore as the back-end and React as the front-end library.
13 |
14 |
15 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5093865205268480)
16 |
17 | ### [GSoC Project Proposal](https://drive.google.com/file/d/1OL881QZaRTVXZbSONo3TLast71_aFtJT/view?usp=sharing)
18 |
19 | ### [GitHub Organization Repo](https://github.com/scorelab/Codelabz)
20 |
21 | ### [GitHub Personal Repo](https://github.com/thisuraseniya/Codelabz)
22 |
23 | ### [Commits during GSoC 2020](https://github.com/scorelab/Codelabz/commits?author=thisuraseniya)
24 |
25 | ### [Project Demo Video](https://youtu.be/CzpzDsWd2G8)
26 |
27 | ### [GSoC Blog](https://medium.com/scorelab/gsoc-2020-with-score-lab-week-0-e4877d5275fc)
28 |
29 | ### Work Summary
30 | The work I did on CodeLabz during GSoC is developing the front-end components of the project. The project was developed using React and Ant Design as the design language. The UI was built in atomic components for better reusability and about 90% of the UI components are mobile-friendly as well. The most challenging part was figuring out the layouts of some pages. For example, for the page that manages the organizations a user handles, I decided to implement a dashboard-like interface which is convenient to handle all the operations of an organization. This reduces the amount of searching, navigations the user has to go through which improves the user experience. For all the interactions, the application gives feedback to the user of the state of the operations in the form of either a progress indicator or a feedback message, which also improves user experience. The most interesting and challenging part for me was implementing the collaborative editor. For that Firepad was used and I added new features to that as well. On a final note, CodeLabz turned out to be a beautiful project with great UI and UX.
31 |
32 | Live demo - [https://dev.codelabz.io/](https://dev.codelabz.io/)
33 |
34 |
35 | ### What Covered
36 | - Landing page (mobile + desktop)
37 | - User registration, log in, password reset screens (mobile + desktop)
38 | - Navbar (mobile + desktop)
39 | - Footer (mobile + desktop)
40 | - Page loading screen (mobile + desktop)
41 | - Organization management screen (organization switcher sidebar, add users, edit organization details) (mobile + desktop)
42 | - Crop images and upload component (mobile + desktop)
43 | - View tutorial page (desktop only)
44 | - Edit tutorial page (add/edit steps, add colors, real time collaboration, image scaling in the markdown) (desktop only)
45 |
46 |
47 | ### What left
48 | - Tutorial details customization
49 | - Organization public view
50 | - Tutorial Feed
51 | - HTML email
52 |
53 |
54 | ### Reference
55 | 1. [CodeLabz Live Demo](https://dev.codelabz.io/)
56 | 2. [ReactJS](https://reactjs.org/docs/getting-started.html)
57 | 3. [Ant Design](https://ant.design/docs/react/introduce)
58 | 4. [Firebase Realtime Database](https://firebase.google.com/docs/web/setup)
59 | 5. [Cloud Firestore](https://firebase.google.com/docs/firestore)
60 | 6. [Firepad](https://github.com/FirebaseExtended/firepad)
61 |
62 |
63 |
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/GSoC-2019/Durgesh-Kumar-Tensor-Map.md:
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1 | # TensorMap
2 | ## Student Info
3 | * Name: Durgesh Kumar
4 | * Email: dkumar@ce.iitr.ac.in
5 | * Indian Institute of Technology Roorkee
6 | * GitHub Profile: https://github.com/orionpax00
7 | * LinkedIn Profile: https://www.linkedin.com/in/durgesh-kumar-807233157/
8 | ### Project Abstract
9 | TensorMap is a web application that will allow the users to create machine learning algorithms visually. TensorMap supports reverse engineering of the visual layout to a Tensorflow implementation in preferred languages.
10 |
11 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5480044531548160)
12 |
13 | ### [GSoC Project Proposal](https://docs.google.com/document/d/1-4wQ3r22sK3FPGmErRggV8VluKAT6vPdBcYka60AQVQ/edit?usp=sharing)
14 |
15 | ### [GitHub Organization Repo](https://github.com/scorelab/TensorMap)
16 |
17 | ### [GitHub Personal Repo](https://github.com/orionpax00/TensorMap)
18 |
19 | ### [Commits during GSoC 2018](https://github.com/scorelab/TensorMap/commits?author=orionpax00)
20 |
21 | ### [Project Demo Video](http://LinkToDemoVideo)
22 |
23 | ### [Project Wiki](https://github.com/scorelab/TensorMap/wiki)
24 |
25 | ### [GSoC Blog](https://medium.com/@dkumar_24145/gsoc-2019-experience-cum-getting-started-guide-39fb7c45c015)
26 |
27 | ### Work Summary
28 | I worked mainly on frontend part of the project TensorMap, with fellow gsocers where a build a functionality to create artificial neural network architecture by dragging and dropping the relevant node to the workspace from the scratch. I also contributed to the integration of preprocessing part with the frontend.
29 |
30 | ### What Covered
31 |
32 | * Create different nodes(input, hidden, output) by dropping to the workspace **:** [`PR-2`](https://github.com/scorelab/TensorMap/pull/7) [`PR-3`](https://github.com/scorelab/TensorMap/pull/9)
33 | * Link different nodes that define flow to data and model **:** [`PR-3`](https://github.com/scorelab/TensorMap/pull/20)
34 | * Group Various node to form a layer. **:** [`PR-5`](https://github.com/scorelab/TensorMap/pull/29)
35 | * Define different parameters associated with nodes and layers. **:** [`PR-3`](https://github.com/scorelab/TensorMap/pull/20) [`PR-4`](https://github.com/scorelab/TensorMap/pull/23)
36 | * Manually update and retrieve weight of links **:** [`PR-4`](https://github.com/scorelab/TensorMap/pull/23)
37 | * specify model compilation and execution configuration (like learning rate, optimizer, etc) **:** [`PR-3`](https://github.com/scorelab/TensorMap/pull/20)
38 | * View Runtime results **:** [`PR-5`](https://github.com/scorelab/TensorMap/pull/29)
39 | * Get the generated code **:** [`PR-2`](https://github.com/scorelab/TensorMap/pull/7)
40 | * Linking pre processing part with frontend **:** [`PR-6`](https://github.com/scorelab/TensorMap/pull/31)
41 | * Material-UI upload data form **:** [`PR-7`](https://github.com/scorelab/TensorMap/pull/32)
42 | * Material-UI Tabular View to view uploaded files as well as data **:** [`PR-7`](https://github.com/scorelab/TensorMap/pull/32)
43 | * Readme.md, Travis, Contributing.md **:** [`PR-1`](https://github.com/scorelab/TensorMap/pull/5)
44 |
45 | ### What left
46 | Runtime results tab is hardcoded, callback function to updated data after execution.
47 |
48 | ### Reference
49 | * [ReactJS | Frontend Framework](https://reactjs.org/)
50 | * [Material-UI | Frontend styling component library](https://material-ui.com)
51 | * [Storm React Diagrams | Flow Diagrams](https://github.com/projectstorm/react-diagrams)
52 | * [Flask | Backend Framework](https://flask.palletsprojects.com/en/1.0.x/)
53 | * [MySQL | Database](https://www.mysql.com/)
54 |
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/GSoC-2019/Shehan-Dhaleesha-Go-social.md:
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1 | # Project Name
2 |
3 | TrackPal
4 |
5 | ## Student Info
6 |
7 | - Name: Shehan Dhaleesha
8 | - Email: [shehandvid@gmail.com](mailto:shehandvid@gmail.com)
9 | - University: University of Colombo School of Computing, Sri Lanka
10 | - GitHub Profile: [https://github.com/shehand](https://github.com/shehand)
11 | - LinkedIn Profile: [https://www.linkedin.com/in/shehandvid](https://www.linkedin.com/in/shehandvid)
12 |
13 | ### Project Abstract
14 |
15 | In Sri Lanka, the transportation tracking problem is a huge challenge. The passengers can't determine the current position of their transportation medium (in this case it may be bus or train) correctly. So they have to wait until it arrives at their pickup location (it may be a bus stop, bus stand or railway station). So TrackPal is the solution to this problem. Trackpal is a public based mobile application which will help users to track their transportation medium.
16 |
17 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#5970850174468096)
18 |
19 | ### [GSoC Project Proposal](https://docs.google.com/document/d/184m5mgA4FLctAEl1wXBU8sU7pgaY-Je8BibP1VwDgQQ/edit?usp=sharing)
20 |
21 | ### GitHub Organization Repo
22 |
23 | - [TrackPal Repo](https://github.com/scorelab/TrackPal) - Mobile application
24 |
25 | ### [GitHub Personal Repo](https://github.com/shehand/TrackPal)
26 |
27 | ### [Commits during GSoC 2019](https://github.com/scorelab/TrackPal/commits?author=shehand)
28 |
29 | ### [Project Demo Video](https://drive.google.com/open?id=10HCShntPdY99JS23T1mV3rTgBzv-KU5q)
30 |
31 | ### [Project Wiki](https://github.com/scorelab/TrackPal/wiki)
32 |
33 | ### GSoC Blog
34 |
35 | - [Road To GSoC — 2019 with SCoRe Lab — Vol 1](https://medium.com/@sonodewcomplex/road-to-gsoc-2019-vol-1-ffb51adf73cc)
36 | - [Road To GSoC — 2019 with SCoRe Lab — Vol 2](https://medium.com/@sonodewcomplex/road-to-gsoc-2019-with-score-lab-vol-2-9bc541d6ed5e)
37 |
38 | ### Work Summary
39 |
40 | For the GSoC 2019, I've implemented the basic functionality of the moblie application. The application is implemented with react-native, so the apps for iOS and Android can be built at the same time. And unit testing for all the components in the mobile application have been done using jest.
41 |
42 | ### What Covered
43 |
44 | In TrackPal v1.0.0 (stable)
45 |
46 | - Implemented SignIn / SignUp (Facebook/Google/Email-Password).
47 | - Implemented Navigation (Bottom Tab/Drawer Navigation).
48 | - Implemented Onboarding screens / Landing screen.
49 | - Implemented Shared Bus Details / Train Details screens.
50 | - Implemented View Shared Details screen (For every individual list item in shared bus details and shared train details screens).
51 | - Implemented Share Details screen (for both train and bus details. This screen is configured with google maps).
52 | - Configure Google Maps with the application using Google Maps API.
53 | - Configured firebase with the application.
54 | - Implemented searching mechanism based on the end point of a shared transportation details.
55 | - Implemented Forget password functionality by using firebase
56 | - Buid the Android applcation for a release.
57 |
58 | ### What left
59 |
60 | - The shared route of a transportation medium should be validated using proper route details.
61 | - iOS build for the appliation should be done.
62 | - Remove duplcate entries from the shared lists.
63 |
64 | ### Reference
65 |
66 | 1. React-Native Docs - http://facebook.github.io/react-native/
67 | 2. Google Map API - https://cloud.google.com/maps-platform/
68 | 3. Firebase Docs - https://firebase.google.com/
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/GSoC-2020/shivanshu1333-OpenMF.md:
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1 | # OpenMF
2 |
3 | ## Student Info
4 |
5 | * Name - Shivanshu Raj Shrivastava
6 | * User Name - shivanshu1333
7 | * Email - shivanshu1333@gmail.com
8 | * GitHub Profile - https://github.com/shivanshu1333
9 | * Medium - https://medium.com/@shivanshu1333
10 | * Twitter - [shivanshu1333](https://twitter.com/shivanshu1333)
11 |
12 | ### Project Abstract
13 | OpenMF is an open-source forensic tool for Android smartphones that helps digital forensicinvestigators throughout the life cycle of digital forensic investigation. Initially it was available as a command line tool only, in GSoC'20 a web client is developed for OpenMF.
14 |
15 | ### [GSoC Project Page](https://summerofcode.withgoogle.com/projects/#4729095495090176)
16 |
17 | ### [GSoC Project Proposal](https://github.com/shivanshu1333/My-GSoC-Proposals/blob/master/GSoC'20-SCoReLab-OpenMF.pdf)
18 |
19 | ### [GitHub Organization Repo](https://github.com/scorelab/openmf)
20 |
21 | ### [GitHub Personal Repo](https://github.com/shivanshu1333/openmf)
22 |
23 | ### [Commits during GSoC 2020](https://github.com/scorelab/OpenMF/commits?author=shivanshu1333)
24 |
25 | ### [Project Demo Video](https://drive.google.com/drive/folders/1hXjU1fDdyFiTVKL2d0yx0302bxBAlr8X?usp=sharing)
26 |
27 | ### [GSoC Blog](https://medium.com/scorelab/gsoc2-all-blogs-in-one-place-77061ef6c193)
28 |
29 | ### Work Summary
30 | OpenMF is an open-source forensic tool for Android smartphones that helps digital forensicinvestigators throughout the life cycle of digital forensic investigation. Initially OpenMF was avaiable as a command line tool only, the main target for GSoC'20 was to create a web client for OpenMF. The work targeted during this period was to add support for web client for this command-line tool with additional features like Admin, Management and Extractor roles. These roles have different privileges to the tool and as a whole, it becomes a complete open-source forensic tool for Android smartphones which then can be used by any organization.
31 | The following flow chart shows the work covered during GSoC'20:
32 | 
33 | **
Work completed during GSoC'20
** 34 | 35 | ### What Covered 36 | Modify the current code base to make a strong robust command-line tool for OpenMF.