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1 | ## **🚀Free AI-Powered Office Assistant👨🎓📚**
2 |
3 | 
4 |
5 |
6 | ## **Overview 🎯🎯**
7 |
8 | [Resoruce](https://chatgpt.com/c/67d57888-a180-800e-aa46-82da0862fa54)
9 |
10 | The Free AI-Powered Office Assistant is a web-based tool designed to automate office tasks such as assignment checking, question bank (QB) creation, and paper checking. It utilizes Ollama and Open WebUI to provide a seamless and efficient AI assistant for office workflows.
11 |
12 | ## **Objectives** 🎯
13 |
14 | 1- Develop an easy-to-use web interface for office task automation.
15 |
16 | 2- Integrate AI models using Ollama for task execution.
17 |
18 | 3- Enable automated assignment checking based on grading rubrics.
19 |
20 | 4- Allow bulk question bank generation based on topics.
21 |
22 | 5- Implement AI-driven paper checking for grammar and plagiarism detection.
23 |
24 | Provide a dashboard for tracking task history and reports.
25 |
26 | ## **System Architecture** 🎯
27 |
28 | The system consists of three main components:
29 |
30 | 1. **Frontend (Web-Based UI)**
31 |
32 | User-friendly interface for managing tasks.
33 |
34 | Input fields for assignments, question generation, and paper checking.
35 |
36 | Backend (Ollama & AI Processing)
37 |
38 | Uses Ollama AI models for natural language understanding.
39 |
40 | Executes tasks like grading, text analysis, and question generation.
41 |
42 | Database (Optional - SQLite / Firebase)
43 |
44 | Stores task results and logs for reference.
45 |
46 | Enables retrieval of past grading reports and question banks.
47 |
48 | Key Features 📌
49 |
50 | ✅ AI-powered Assignment Checking based on rubrics.✅ Automated Question Bank (QB) Generation.✅ AI-driven Paper Checking for grammar and plagiarism.✅ Runs Locally - No API costs with Ollama models.✅ User-friendly Web Interface via Open WebUI.✅ Task History Tracking with logs and reports.✅ Scalable and Deployable on cloud or local systems.
51 |
52 | Next Steps 📌
53 |
54 | 🔹 Integration with cloud-based databases for task storage.🔹 Implement customizable grading rubrics for assignments.🔹 Enhance AI models for more accurate text analysis.🔹 Add voice input and response capabilities.
55 |
56 | Technology Stack 📂
57 |
58 | Frontend : Streamlit / Open WebUI (for web interface).
59 |
60 | Backend : Python + Ollama (for AI-powered processing).
61 |
62 | Database (Optional) : SQLite / Firebase (for task logs).
63 |
64 | Hosting : Can be deployed locally or on AWS / Google Cloud.
65 |
66 | Development Plan 🔍
67 |
68 | Phase 1: Core Development (2–4 weeks)
69 |
70 | ✔️ Develop a basic web interface for input and results.✔️ Integrate AI models for assignment checking and question generation.✔️ Test basic functionalities and refine AI responses.
71 |
72 | Phase 2: Feature Expansion (1–2 months)
73 |
74 | 🚀 Implement bulk assignment processing.🚀 Improve question generation accuracy.🚀 Add advanced plagiarism detection for paper checking.🚀 Enhance UI/UX for better usability.
75 |
76 | Phase 3: Full Deployment (3+ months)
77 |
78 | 📢 Deploy on a server or cloud-based platform.📢 Optimize AI models for faster performance.📢 Enable multi-user access for organizations.📢 Implement custom reports and analytics.
79 |
80 | Sustainability & Future Roadmap 🤝
81 |
82 | 🔹 Integration with OpenAI API for advanced text analysis.🔹 Smart Auto-replies & AI Chatbot for office queries.🔹 Support for multiple languages and document formats.🔹 Mobile-friendly interface for on-the-go task management.
83 |
84 | ## **Instalation**
85 |
86 | 1- Download Ollama webiste and instal in your Pc
87 |
88 | 2- Go to VS Code instal Ollama module pip instal Ollama
89 |
90 | 📬 Contact
91 |
92 | For inquiries and contributions, contact Dr. Mushtaq at:
93 |
94 | Email: mushtaqmsit@gmail.com
95 |
96 | LinkedIn: Mushtaq Hussain
97 |
98 | YouTube: CoursesTeach
99 |
100 | Website: CoursesTeach
101 |
102 | ✨ Top Contributors
103 |
104 | We welcome contributions! If you'd like to contribute, please fork the repository, create a feature branch, and submit a pull request.
105 |
106 |
107 | Projects 01 - ⚙️Machine Learning
108 |
109 | | Project Title/blog | Description | Notebook |Category|To do List|Resource Link |Completed|
110 | |---|---|---|---|---|---|---|
111 | |[**🌐1- Stock Price Prediction using linear regression**](https://medium.com/@Coursesteach/stock-price-prediction-using-linear-regression-4839bc1240f0) |Acc=.99, Model=Linear Regression, Techniquest: sklearn, Label enconding, chained equations (MICE) |[](https://github.com/hussain0048/Projects-/blob/master/Stock_Price_Prediction.ipynb)|Regression|1- Try other regression models|---|☑|
112 | |[**🌐2- Predict Ads Click Practice Data_Analysis**](https://medium.com/@Coursesteach/stock-price-prediction-using-linear-regression-4839bc1240f0) |Acc=.99, Model=Linear Regression, Techniquest: sklearn, Label enconding, chained equations (MICE) |[](https://github.com/hussain0048/Projects-/blob/master/Predict_Ads_Click_%E2%80%93_Practice_Data_Analysis_and_Logistic_Regression_Prediction.ipynb)|Classification|1- Try other regression models|---|---|
113 | |[**🌐3- linkedIn_auto_jobs_applier_with_AI.**](https://medium.com/@Coursesteach/stock-price-prediction-using-linear-regression-4839bc1240f0) |Acc=.99, Model=Linear Regression, Techniquest: sklearn, Label enconding, chained equations (MICE) |[](https://github.com/hussain0048/Projects/blob/master/linkedIn_auto_jobs_applier_with_AI.ipynb)|Classification|1- Try other regression models|---|Pending|
114 |
115 |
116 |
117 |
118 |
119 | Projects 02 - ⚙️Deep Learning
120 |
121 | | Project Title | Description | Code |Category|To do list|Creator|Added|Completed|
122 | |---|---|---|---|---|---|---|---|
123 | |[**🌐1- Credit Card Fraud Detection**](https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras/tree/master) |Autoencoders,Keras| [](https://github.com/hussain0048/Projects-/blob/master/Image_Data_Preprocessing.ipynb) |Preprocessing|Add more Preprocessing steps|Dr.Mushtaq|2024-06-08|Pending|
124 |
125 |
126 |
127 |
128 | Projects 03 - ⚙️Computer Vision
129 |
130 | | Project Title | Description | Code |Category|To do list|Creator|Added|Completed|
131 | |---|---|---|---|---|---|---|---|
132 | |[**🌐1- Build a simple image Classifer**](https://medium.com/@Coursesteach/build-a-simple-image-classifier-using-fashion-dataset-a46cd0dfcd39) |Accuracy 13-80%,Model=multilayer perceptron, Keras, | [](https://github.com/hussain0048/Projects-/blob/master/Build_a_simple_image_classifier.ipynb) |Classification|Try other Deep learning model,CNN,etc|Dr Mushtaq|2020-09-06|☑|
133 | |[**🌐2- Convert Color Image to Sketch**](https://medium.com/@Coursesteach/convert-color-image-to-sketch-9fd1781dce52) |gaussian filter,dogding| [](https://github.com/hussain0048/Projects-/blob/master/Convert_Color_Image_to_Sketchipynb.ipynb) |Filtering|Try technique|Dr.Mushtaq|2024-04-20|☑|
134 | |[**🌐3- Building a Real Time Emotion Detection with Python**](https://medium.com/@Coursesteach/building-a-real-time-emotion-detection-with-python-7fe6090a125d) |CNN=57.67,Kera| [](https://github.com/hussain0048/Projects-/blob/master/Building_a_Real_Time_Emotion_Detection_with_Python.ipynb) |Classification|-Real time detection not working(Need to correct in colab)- Try others DL techniqueS|Dr.Mushtaq|2024-04-27|☑|
135 | |[**🌐4- Age, Gender and Race Prediction**](https://medium.com/@Coursesteach/age-gender-and-race-prediction-21acd3193bf4) |Age Prediction=CNN= ACC=.91,Gender Prediction=CNN Acc=,86, Ethnicity Prediction CNN Acc=0.74,Kera| [](https://github.com/hussain0048/Projects-/blob/master/Age%2C_Gender_and_Race_Prediction.ipynb) |Classification|-Real time detection not working(Need to correct in colab)- Try others DL techniqueS|Dr.Mushtaq|2024-06-2|☑|
136 | |[**🌐5- Image Preprocessing using Python**](https://medium.com/@Coursesteach/image-preprocessing-using-python-2db2fd91618a) |Python,scikit-image| [](https://github.com/hussain0048/Projects-/blob/master/Image_Data_Preprocessing.ipynb) |Preprocessing|Add more Preprocessing steps|Dr.Mushtaq|2024-06-08|☑|
137 | |[**🌐6- Traffic Sign Classification with Keras and Deep Learning**](https://medium.com/@Coursesteach/traffic-signal-classification-with-keras-and-deep-learning-426fd895ac7e) |Python,scikit-image,OpenCV,NumPy, CNN Test acc:.97| [](https://github.com/hussain0048/Projects/blob/master/Traffic_Sign_Classification_with_Keras_and_Deep_Learning.ipynb) |Classification |Add more Preprocessing steps and Computer Vision methods|Dr.Mushtaq|2024-08-16|☑|
138 |
139 |
140 |
141 |
142 |
143 |
144 | Projects 04 - ⚙️ Natural language processing
145 |
146 | | Project Title/blog | Description | NoteBook |Category|Todo List|Creator|Added|Completed|
147 | |---|---|---|---|---|---|---|---|
148 | |[**🌐1- Chatbot Development for Healthcare Assistants using ERPNext and Android**](https://medium.com/@Coursesteach/spam-detection-using-machine-learning-methods-dd5dbc799b6b) |Naive Bayes=95-97%, SVM=98-99, CountVectorizer,Scikit-learn,Grid Search CV | [](https://github.com/hussain0048/Projects-/blob/master/Spam_Detection_using_Machine_Learning.ipynb)|Text Classification|-try other classification model 2) Try to text preprocessing method stop word etc|Dr.Mushtaq|2024-04-12|☑|
149 | |[**🌐2-Hate Speech Detection with Machine Learning**](https://medium.com/@Coursesteach/hate-speech-detection-with-machine-learning-c7d12a217e69) |DT=75%,CountVectorizer ,Scikit-learn | [](https://github.com/hussain0048/Projects-/blob/master/Hate_Speech_Detection_with_Machine_Learning(_Decsion_Tree)_(1).ipynb)|Text Classification|-try other classification model 2) Try to text preprocessing method stop word etc|Dr Mushtaq|2024-04-21|☑|
150 | |[**🌐3-Detecting Sports Content with Machine Learning**](https://medium.com/@Coursesteach/detecting-sports-content-with-machine-learning-ec9c3138166e) |SVM=66%,CountVectorizer ,Scikit-learn | [](https://github.com/hussain0048/Projects-/blob/master/Detecting_Sports_Content_with_Machine_Learning%22.ipynb)|Text Classification|-try other classification model 2) Try to text preprocessing method stop word etc|Dr Mushtaq|2024-04-28|☑|
151 | |[**🌐4-Personality Prediction Through CV**](https://github.com/HiteshAgarwal1/Personality-Prediction-Through-CV/tree/master) |SVM=66%,CountVectorizer ,Scikit-learn | [](https://github.com/hussain0048/Projects-/blob/master/Detecting_Sports_Content_with_Machine_Learning%22.ipynb)|Text Classification|-try other classification model 2) Try to text preprocessing method stop word etc|Dr Mushtaq|2024-04-28|Pending|
152 | |[**🌐5-Using Machine Learning to Predict Movie Reviews**](https://medium.com/@Coursesteach/using-machine-learning-to-predict-movie-reviews-82b0ab1db313) |Gaussian = 0.7843,Multinomial = 0.831,, Bernoulli = 0.8386 | [](https://github.com/hussain0048/Projects-/blob/master/Movie_Reviews_through_Sentiment_Analysis_in_NLP.ipynb)|Sentiment Analysis|Apply other DL and ML with new processing steps|Dr Mushtaq|2024-05-05|☑|
153 | |[**🌐6-Text-Preprocessing-1**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Tokenization,stemming,lemmatization,stopword,postagging | [](https://github.com/hussain0048/Projects-/blob/master/Tokenization_stemming_lemmatization_stopword_postagging.ipynb)|Preprocessing|--|Dr Mushtaq|2024-05-26|☑|
154 | |[**🌐7-Important Python script for NLP Task**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/hussain0048/Projects-/blob/master/Important_Python_script.ipynb)|Script|--|Dr Mushtaq|2024-05-26|inProcess|
155 | |[**🌐8-Stress Detection with Machine Learning**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/hussain0048/Projects-/blob/master/Stress_Detection_with_Machine_Learning.ipynb)|Script|--|Dr Mushtaq|2024-05-26|Pending|
156 | |[**🌐9-Next Word Prediction Model**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/hussain0048/Projects-/blob/master/Next_Word_Prediction_Model.ipynb)|Script|--|Dr Mushtaq|2024-05-26|Pending|
157 | |[**🌐10-Emotion Detection in Text**](https://medium.com/@Coursesteach/emotion-detection-in-text-5b8d05db655f) | TF-IDF (naive bayes -0.50,svm 0.56,logistic regression 0.5,random forest 0.552 ) & Count Vectors(naive bayes -0.76,svm 0.79,logistic regression 0.79 )| [](https://github.com/hussain0048/Projects/blob/master/Emotion_Detection_in_Text.ipynb)|Sentiment Analysis|--|Dr Mushtaq|2024-9-16|☑|
158 | |[**🌐10-Auto Apply for Job with AI**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/hussain0048/Projects/blob/master/Auto_Apply_for_Job_with_AI.ipynb)|Script|--|Dr Mushtaq|2024-05-26|Pending|
159 | |[**🌐11-Chatbot in Healthcare**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/hussain0048/Projects/blob/master/chatbot_in_Healthcare.ipynb)|Script|--|Dr Mushtaq|2024-05-26|Pending|
160 | |[**🌐12-File Organizer**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/dr-mushtaq/Projects/blob/master/File_organizer.ipynb)|Script|--|Dr Mushtaq|2024-05-26|Pending|
161 | |[**🌐13-Plagiarism-checker-Python**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/dr-mushtaq/Projects/blob/master/Plagiarism_checker_Python.ipynb)|Script|--|Dr Mushtaq|2024-05-26|Pending|
162 |
163 |
164 |
165 | Catorgy 05 - ⚙️Student Contributions
166 | Each student forks the repository and works on their assigned task.
167 | Each student (or group) can be assigned specific modules of the project. For example:
168 |
169 | | Module | Assigned To | Task |Created|Completed
170 | |---|---|---|---|---|
171 | |[**🌐1-Generating QR Code in Python**](https://medium.com/@Coursesteach/generating-qr-code-in-python-b2e270422637) | Python,qrcode | [](https://github.com/hussain0048/Projects-/blob/master/QR_Code_Generation_using_Python.ipynb)|Saad Abbasi|☑ |
172 | |[**🌐1-Important Python Script**](https://medium.com/@Coursesteach/important-python-scripts-to-save-your-time-1bb839cd7600) | Python,qrcode | [](https://github.com/hussain0048/Projects-/blob/master/Important_Python_script.ipynb)|Saad Abbasi|☑ |
173 |
174 |
175 |
176 |
177 | Category 06 - ⚙️ Road Map
178 |
179 | ## 📚Chapter: 1 **Database**
180 |
181 | | Topic Title | Blog | Video |
182 | |---|---|---|
183 | | [**1-Building **](https://docs.google.com/document/d/1YfLZxg0mNAuQhWTqDrDkewkVgVnhIAoS/edit) | [**Dataset**](https://github.com/hussain0048/Projects-/blob/master/intentsnew%20(6).json) | [](https://github.com/hussain0048/Projects-/blob/master/Model_Training_2.ipynb) |-|
184 |
185 | ## 📚Chapter: 2 **Machine Learning**
186 |
187 | | | f1 | precision | recall | accuracy | training_time | inference_time |
188 | |---|---|---|---|---|---|---|
189 | | NB | 0.830188679245283 | 0.8461538461538461| 0.8148148148148148| 0.8085106382978723 | 0.0032272338867187 | 0.0007801055908203|
190 | | LR | 0.8518518518518519 | 0.8846153846153846 | 0.8214285714285714| 0.8297872340425532| 0.0356471538543701| 0.0002150535583496|
191 | | KNN | 0.7058823529411765| 0.6923076923076923| 0.72| 0.6808510638297872| 0.0005688667297363 | 0.0972669124603271|
192 | | SVM | 0.8518518518518519 | 0.8846153846153846 | 0.8214285714285714 | 0.8297872340425532| 0.0274648666381835 | 0.0030479431152343|
193 | | XGBoost | 0.9122807017543859 | 1.0 | 0.8387096774193549 | 0.8936170212765957| 0.241973876953125| 0.0040738582611083984|
194 | | RoBERTa| 0.9230769230769231| 0.9230769230769231| 0.9230769230769231 | 0.9148936170212766| 24968.250607967377| 68.44634509086609|
195 |
196 |
197 |
198 | 📝 Resources
199 |
200 | | Title | Description| Type |
201 | |---|---|---|
202 | | [**✅1-Build Your Local AI: From Zero to a Custom ChatGPT Interface with Ollama & Open WebUI**](https://medium.com/@hautel.alex2000/build-your-local-ai-from-zero-to-a-custom-chatgpt-interface-with-ollama-open-webui-6bee2c5abba3)|it show ERPNET Installation |Video|
203 | |[**✅2-Tiny Ollama Chat?**](https://github.com/anishgowda21/tiny-ollama-chat)|Health related project| Project|
204 | |[**✅3-Build Your Own ChatGPT Locally Using Ollama & OpenWeb-UI Full Tutorial**](https://www.youtube.com/watch?v=JXKyKE3Xkvk)|It is yourtube Video|
205 | |[**✅4-GenAI Agents: Comprehensive Repository for Development and Implementation**](https://github.com/NirDiamant/GenAI_Agents)| dynamic collections of Generative AI (GenAI) agent tutorials and implementations available today|All|
206 | |[**✅5-Open WebUI tutorial — Supercharge Your Local AI with RAG and Custom Knowledge Bases**](https://medium.com/@hautel.alex2000/open-webui-tutorial-supercharging-your-local-ai-with-rag-and-custom-knowledge-bases-334d272c8c40)[Github](https://github.com/pahautelman/Obsidian-Text-Transformer-LocalAI)|Retrieval-Augmented Generation (RAG), showing you how to dramatically improve your AI’s|All|
207 | |[**✅7-autoMate**](https://github.com/yuruotong1/autoMate/tree/master)|Basic to Advane, Video|All|
208 | |[**7-Data Science Projects**](https://github.com/veb-101/Data-Science-Projects)|Basic to Advane, Video|All|
209 | |[**8-Introduction to Machine Learning**](https://github.com/codeheroku/Introduction-to-Machine-Learning/tree/master)|Basic to Advane, Video|All|
210 | |[**9-Best-of Machine Learning with Python**](https://github.com/ml-tooling/best-of-ml-python?fbclid=IwZXh0bgNhZW0CMTEAAR2eFaT5BBVrkMcqaT4zGwy60y2ErdckbkoUfrDFIb7dfI1swdNNiTd3Ow8_aem_AaJ2k7sLJEQU5GttjniHz3Z2JjnSzZm5h1cVq4T3vEuU05iWpjBdKLz3xWHJE_ZBKqxhQRtyBhQI--n-Xa0v92oN)|ML,NLP,CV,Forcasting|---|
211 | |[**10-Awesome-AI-Data-Guided-Projects**](https://github.com/youssefHosni/Awesome-AI-Data-Guided-Projects)|ML,NLP,CV,Forcasting|---|
212 | |[**11-awesome-python-projects**](https://github.com/garimasingh128/awesome-python-projects/tree/master)|ML,NLP,CV,Forcasting|---|
213 | |[**12-All-In-One-Python-Projects**](https://github.com/king04aman/All-In-One-Python-Projects/tree/main)|Python Basic- Advance|---|
214 | |[**13-Machine-Learning-Projects-aswintechguy**](https://github.com/aswintechguy/Machine-Learning-Projects/tree/master)|Python Basic- Advance|---|
215 | |[**14-Machine-Learning-with-Python**](https://github.com/susanli2016/Machine-Learning-with-Python/tree/master)|Python Basic- Advance|---|
216 | |[**15-awesome-llm-apps**](https://github.com/Shubhamsaboo/awesome-llm-apps?fbclid=IwZXh0bgNhZW0CMTAAAR1zFKbLZyc32Ry7tyXX66Pv1xa1RrDfVCjsGHjrSh0GbGxsuHEym3MTRiE_aem_uqDX_m-vN7pacaT-_gGGDg)|Awesome LLM Apps|---|
217 | |[**16-Project Based Learning**](https://github.com/practical-tutorials/project-based-learning?tab=readme-ov-file#python)|Python Basic- Advance|---|
218 |
219 |
220 |
221 |
222 | - [**Assignment 1: Python Basics with Numpy**](https://github.com/hussain0048/Deep-Learning/blob/master/Python_Basics_With_Numpy_v3.ipynb)
223 |
224 | ##[**Alogrithems**](https://github.com/hussain0048/Deep-Learning-with-Keras/tree/master/Alogrithems)
225 | - [DL0101EN-3-1-Regression-with-Keras-py-v1.0.ipynb](https://github.com/hussain0048/Deep-Learning-with-Keras/blob/master/Alogrithems/DL0101EN-3-1-Regression-with-Keras-py-v1.0.ipynb)
226 | - [DL0101EN-3-2-Classification-with-Keras-py-v1.0.ipynb](https://github.com/hussain0048/Deep-Learning-with-Keras/blob/master/Alogrithems/DL0101EN-3-2-Classification-with-Keras-py-v1.0.ipynb)
227 | - [Keras - Tutorial - Happy House v1.ipynb](https://github.com/hussain0048/Deep-Learning-with-Keras/blob/master/Alogrithems/Keras%20-%20Tutorial%20-%20Happy%20House%20v1.ipynb)
228 | - [Keras_for_Beginners_Implementing_a_Convolutional_Neural_Network](https://github.com/hussain0048/Deep-Learning-with-Keras/blob/master/Alogrithems/Keras_for_Beginners_Implementing_a_Convolutional_Neural_Network%20(1).ipynb)
229 | - [Keras_for_Beginners_Building_Your_First_Neural_Network.ipynb](https://github.com/hussain0048/Deep-Learning-with-Keras/blob/master/Alogrithems/Keras_for_Beginners_Building_Your_First_Neural_Network.ipynb)
230 |
231 | * [**Need to Implement**]()
232 | * [Text Classification — CNN with LSTM](https://anandsarank.medium.com/cnn-with-lstm-for-text-classification-53d18e5f7f5c)
233 | * [Step-by-Step Guide — Building a Prediction Model in Python](https://towardsdatascience.com/step-by-step-guide-building-a-prediction-model-in-python-ac441e8b9e8b)
234 | * [**Important Website**]()
235 | * [victorzhou](https://victorzhou.com/)
236 | *
237 |
238 | # Table of Content
239 |
240 | ## Tabl of Content
241 | 1. [**Computer Vision**](https://github.com/hussain0048/Projects-/tree/master/Computer%20Vision)
242 | 1. [Human_Activity_Recognition](https://github.com/hussain0048/Projects-/blob/master/Computer%20Vision/Human_Activity_Recognition.ipynb)
243 | 2. [Building_a_Real_Time_Emotion_Detection_with_Python](https://github.com/hussain0048/Projects-/blob/master/Computer%20Vision/Building_a_Real_Time_Emotion_Detection_with_Python.ipynb)
244 | 3. [**Deep Learning**](https://github.com/hussain0048/Projects-/tree/master/DL)
245 | 4. [**Freelancer**](https://github.com/hussain0048/Projects-/tree/master/Freelancer)
246 | 1. [AI_Assigment](https://github.com/hussain0048/Projects-/blob/master/Freelancer/AI_Assigment.ipynb)
247 | 5. [**Machine Learning**](https://github.com/hussain0048/Projects-/tree/master/ML)
248 | 2. [Movie_Recommender_9_26_2020.ipynb](https://github.com/hussain0048/Projects-/blob/master/ML/Movie_Recommender_9_26_2020.ipynb)
249 | 3. [Predict_IPL_Winner_with_ML.ipynb](https://github.com/hussain0048/Projects-/blob/master/ML/Predict_IPL_Winner_with_ML.ipynb)
250 | 4. [Credit_Card_Fraud_Detection_DT_and_RF.ipynb](https://github.com/hussain0048/Projects-/blob/master/ML/Credit_Card_Fraud_Detection_DT_and_RF.ipynb)
251 | 5. [President_Heights_exploratory_data.ipynb](https://github.com/hussain0048/Projects-/blob/master/ML/President_Heights_exploratory_data.ipynb)
252 | 6. [Birth Rate Analysis](https://github.com/hussain0048/Projects-/blob/master/ML/Birth_Rate_Analysis.ipynb)
253 | 7. [Data Science Project on Area and Population](https://github.com/hussain0048/Projects-/blob/master/ML/Data_Science_Project_on_Area_and_Population.ipynb)
254 | 8. [How to Save a Machine Learning Model?](https://github.com/hussain0048/Projects-/blob/master/ML/How_to_Save_a_Machine_Learning_Model.ipynb)
255 | 9. [Hate Speech Detection with Machine Learning](https://github.com/hussain0048/Projects-/blob/master/ML/Hate_Speech_Detection_with_Machine_Learning(_Decsion_Tree)%20(1).ipynb)
256 | 6. [**Machine Learning End to End**](https://github.com/hussain0048/Projects-/tree/master/Machine%20Learning%20End%20to%20End)
257 | 1. [Build_and_Deploy_Data_Science_Products](https://github.com/hussain0048/Projects-/blob/master/Machine%20Learning%20End%20to%20End/Build_and_Deploy_Data_Science_Products_.ipynb)
258 | 2. [End-to-End Machine Learning Model](https://github.com/hussain0048/Projects-/blob/master/Machine%20Learning%20End%20to%20End/End_to_End_Machine_Learning_Model.ipynb)
259 | 3. [End-to-End Fake News Detection with Python](https://github.com/hussain0048/Projects-/blob/master/Machine%20Learning%20End%20to%20End/End_to_End_Fake_News_Detection_with_Python_(Naybaies_Streamlite).ipynb)
260 | 7. [**Natural Language Processing**](https://github.com/hussain0048/Projects-/tree/master/National%20Language%20processing)
261 | 2. [Next_Word_Prediction](https://github.com/hussain0048/Projects-/blob/master/National%20Language%20processing/Next_Word_Prediction.ipynb)
262 | 3. [Summarize_Text_with_Machine_Learning](https://github.com/hussain0048/Projects-/blob/master/National%20Language%20processing/Summarize_Text_with_Machine_Learning.ipynb)
263 | 4. [Chatbot_using_Python.ipynb](https://github.com/hussain0048/Projects-/blob/master/National%20Language%20processing/Chatbot_using_Python.ipynb)
264 | 5. [Text_Classification](https://github.com/hussain0048/Projects-/blob/master/National%20Language%20processing/Text_Classification.ipynb)
265 | 6. [End-to-End Spam Detection with Python](https://github.com/hussain0048/Projects-/blob/master/National%20Language%20processing/End_to_End_Spam_Detection_with_Python.ipynb)
266 | 7. [Fake_News_Classifier_using_Bidirectional_LSTM.ipynb](https://github.com/hussain0048/Projects-/blob/master/National%20Language%20processing/Fake_News_Classifier_using_Bidirectional_LSTM.ipynb)
267 | 8. [**Recommender System**](https://github.com/hussain0048/Projects-/tree/master/Recommender%20System)
268 | 1. [Amazon_Recommendation_System_using_Python)_.ipynb](https://github.com/hussain0048/Projects-/blob/master/Recommender%20System/Amazon_Recommendation_System_using_Python.ipynb)
269 | 2. [Movie_Recommender_9_26_2020](https://github.com/hussain0048/Projects-/blob/master/Recommender%20System/Movie_Recommender_9_26_2020.ipynb)
270 | 3. [Content_Based_Filtering_in_Machine_Learning.ipynb](https://github.com/hussain0048/Projects-/blob/master/Recommender%20System/Content_Based_Filtering_in_Machine_Learning.ipynb)
271 | 9. [**Time Series Forecasting**](https://github.com/hussain0048/Projects-/tree/master/Time%20Series%20Forecasting)
272 | 1. [Covid_19_Cases_Prediction_with_Python (1).ipynb](https://github.com/hussain0048/Projects-/blob/master/Time%20Series%20Forecasting/Covid_19_Cases_Prediction_with_Python%20(1).ipynb)
273 | 2. [Time_Series_with_LSTM_in_Machine_Learning.ipynb](https://github.com/hussain0048/Projects-/blob/master/Time%20Series%20Forecasting/Time_Series_with_LSTM_in_Machine_Learning.ipynb)
274 | 11. **Project Need to Implement**
275 | 1. [How to Detect Passive and Active Voice in Your Writing Using an LSTM](https://www.bobbywlindsey.com/2021/01/09/how-to-detect-passive-and-active-voice-in-your-writing-using-an-lstm/)
276 | 2. [How to Create a Chrome Plugin using Python](https://morioh.com/p/0e3b33fe9851?f=5c21fb01c16e2556b555ab32&fbclid=IwAR0598Gqq6NVxJD14TBFSAftpi9dj-lGuovz8v4_JwERcHuJWiTqcJW9_78)
277 | 3. [Face Recognition Based Attendance System| Python| OpenCV](https://www.youtube.com/watch?v=y1o33D44AtI&ab_channel=ArtificialIntelligenceHub)
278 | 4. [UBER RIDES PREDICTION USING MACHINE LEARNING | Complete Project](https://www.youtube.com/watch?v=qoI_PwI6mBs&ab_channel=ArtificialIntelligenceHub)
279 | 5. [Predict Ads Click – Practice Data Analysis and Logistic Regression Prediction](https://projectsbasedlearning.com/apache-spark-machine-learning/predict-ads-click-practice-data-analysis-and-logistic-regression-prediction/?fbclid=IwAR3zhEqrzxRg5TP0lzd2MuZ_9XIrr5dXGU-h26_MWEV6wcuB7T2k15HzxsM)
280 | 6. [Beginner Machine Learning Projects with data:](https://www.reddit.com/r/learnmachinelearning/comments/l9ssx6/beginner_machine_learning_projects_with_data/)
281 | 7. [ai-powered storytelling convert text into video stories](https://partners.nius.tv/?ref=producthunt)
282 | 8. [Learn to create AI Assistant (JARVIS) With Python](https://www.udemy.com/course/learn-to-create-ai-voice-assistant-jarvis-with-python/learn/lecture/21404920#overview)
283 | 9. [Data Science Real-World Use Cases - Hands On PythonYour progress](https://www.udemy.com/course/data-science-real-world-use-cases-hands-on-python/learn/lecture/25430358components=buy_button%2Cdiscount_expiration%2Cgift_this_course%2Cpurchase%2Cdeal_badge%2Credeem_coupon&couponCode=MAY_SALE#overview)
284 | 10. [How to Build Bioinformatics Tools](https://www.youtube.com/watch?v=LHM0Couv0w4&ab_channel=DataProfessor)
285 | 11. [TOP 10 OPENCV PROJECTS in 2020](https://www.murtazahassan.com/courselist/)
286 | 12. [Predict The Future Price of Etherium Using Python & Machine Learning](https://www.youtube.com/watch?v=vbDFJSdusAA&ab_channel=ComputerScience)
287 | 13. [Opencv Projects](https://www.murtazahassan.com/courses/opencv-projects/)
288 | 14. [Machine Learning project : Cricket Score prediction using Python ](https://www.youtube.com/watch?v=myoe54ZGIa4&ab_channel=AKPython)
289 | 15. [Deep Learning for Air Quality Prediction](https://medium.com/analytics-vidhya/deep-learning-for-air-quality-prediction-b451e2936290)
290 | 16. [Machine Learning Projects | using python | with code | for college students](https://www.youtube.com/watch?v=MIgg4aiNo4Q&feature=youtu.be&fbclid=IwAR0Mbswz_rsJp3ulwwHO0vC7DI97-9YezY9rZ0wFRts14tUVfrV3ojcL9Eo)
291 | 17. [Text Classification Using Convolutional Neural Networks](https://www.youtube.com/watch?v=8YsZXTpFRO0)
292 | 18. [project-based-learning](https://github.com/tuvtran/project-based-learning#python)
293 | 20. [Best-of Machine Learning with Python](https://github.com/ml-tooling/best-of-ml-python?fbclid=IwAR2MLkXOEzDCwUe0wu5oMyjkQNPtgu5YXB5CDpyy1OnJkUgbismV1oPbsrY)
294 | 21. [Face-Mask-Detection-Using-Google-Colab](https://github.com/kvnptl/Face-Mask-Detection-Using-Google-Colab)
295 | 22. [Face Mask Detection using Python, Keras, OpenCV and MobileNet | Detect masks real-time video streams](https://www.youtube.com/watch?v=Ax6P93r32KU)
296 | 23. [Monk_Object_Detection](https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo?fbclid=IwAR28SZ6iTsr4VnL1oXoylQJjt7Xls2D1lKN4FPNHNOiEGapiKT7vJtTuQig)
297 | 24. [Deep Learning-based Real-time Video Processing](https://www.kdnuggets.com/2021/02/deep-learning-based-real-time-video-processing.html?fbclid=IwAR0cTUjwu948i-1Djr-hyBiopQz4t-zn0tqUQrBi8ermBXC32n6qsnMrg0s)
298 | 25. [Murtaza's Workshop - Robotics and AI](https://www.youtube.com/channel/UCYUjYU5FveRAscQ8V21w81A)
299 | 26. [Rainfall Prediction with Machine Learning](https://thecleverprogrammer.com/2020/09/11/rainfall-prediction-with-machine-learning/?fbclid=IwAR17nR_D7TVMMw1gCjAjcUOQfH-3eqVWM4vH9ISzjBrP3f2uqezsSu_uAoc)
300 | 27. [Fruits Classification using Deep Learning](https://medium.com/ai-techsystems/fruits-classification-using-deep-learning-f8261b0ee0ca)
301 | 28. [Face Recognition Attendance GUI PyQt - 1 Hour Course | 2021](https://www.youtube.com/watch?v=oP3MQyO-wwc)
302 | 29. [Machine Learning Projects on Social Media Analysis](https://medium.com/coders-camp/5-machine-learning-projects-on-social-media-analysis-d70b90839ab9)
303 | 30. [10 Best Data Science Projects to Get Hired and You Must Know in 2021](https://www.mltut.com/best-data-science-projects-to-get-hired/?fbclid=IwAR3e4Nr1CWc-ndh2uqxACkVHD2DlE6bVLC67yATyg3VxLo2uA5_t1M6G9e0)
304 | 31. [Build a chatbot from scratch - Ultimate Chatbot Tutorial](https://www.youtube.com/watch?v=6GLFcm7dGiY&feature=youtu.be&fbclid=IwAR2gxGHuZ7_ushvUuMgYwsL9xJjcOlIWKVmcOGuWlqChylcd5CcSgOE5wc4)
305 | 32. [Wine Recommender System Using Principal Component Analysis- Python](https://www.mltut.com/wine-recommender-system-using-principal-component-analysis/?fbclid=IwAR2l9ehJZppzjG_kBlKRLRqAdUibGHBWJTFwwryo-qxWp_vofcTWLUJeHYE)
306 | 33. [Deep Learning Algorithms For Solving Advanced Mathematical Problems](https://medium.com/towards-artificial-intelligence/deep-learning-algorithms-for-solving-advanced-mathematical-problems-719467a394e8)
307 | 34. [Video to Text Description Using Deep Learning and Transformers | COOT](https://www.youtube.com/watch?v=5TRp5SuEtoY)
308 | 35. [Forecasting the power generated by a solar plant using Neural Designer](https://www.neuraldesigner.com/learning/examples/solar-power-generation)
309 | 36. [https://www.neuraldesigner.com/learning/examples/solar-power-generation](https://www.neuraldesigner.com/learning/examples/activity-recognition)
310 | 37. [8 Neural Networks Projects Solved and Explained](https://medium.com/datadriveninvestor/8-neural-networks-projects-solved-and-explained-a4f142bc10c)
311 | 38. [Hierarchical Human Activity Recognition using Deep Learning](https://kk7nc.medium.com/hierarchical-human-activity-recognition-using-deep-learning-5e965fecb499)
312 | 39. [4 Recommendation System Projects with Python](https://medium.com/coders-camp/4-recommendation-system-projects-with-python-5934de32ba7d)
313 | 40. [Machine Learning Project on Hand Gesture Recognition Model](https://thecleverprogrammer.com/2020/11/20/hand-gesture-recognition-with-python/?fbclid=IwAR1XwLC9XguICMBLdFqvryOfmOdKm4CPGSVjxuET7QwQEoBkxI0AiEimLU0)
314 | 41. [6 Sentiment Analysis Projects with Python](https://amankharwal.medium.com/6-sentiment-analysis-projects-with-python-1fdd3d43d90f)
315 | 42. [Build and deploy data science products: Machine translation application -Build and deploy using Flask](https://bayesianquest.com/2020/10/24/viii-build-and-deploy-data-science-products-machine-translation-application-build-and-deploy-using-flask/?fbclid=IwAR2bsR2nGhTl4v8U1ETRamFCNGjLaJKgQ_6L5sqz3rHa6egf9JCXv3HkCUA)
316 | 43. [How I Built and Deployed a Fun Serverless Machine Learning App](https://towardsdatascience.com/building-and-deploying-cartoonify-b4786b382d7e)
317 | 44. [Build and deploy data science products: Machine translation application -Build and deploy using Flask](https://bayesianquest.com/2020/10/24/viii-build-and-deploy-data-science-products-machine-translation-application-build-and-deploy-using-flask/)
318 | 45. [Face Mask Detection with Machine Learning](https://thecleverprogrammer.com/2020/11/17/face-mask-detection-with-machine-learning/)
319 | 46. [20 Machine Learning Projects on Future Prediction with Python](https://amankharwal.medium.com/20-machine-learning-projects-on-future-prediction-with-python-93932d9a7f7f)
320 | 47. [Build and Deploy Data Science Products : A Practical Guide to Building a Machine Translation Application.](https://bayesianquest.com/2020/10/24/build-your-machine-translation-application-byte-by-byte/)
321 | 48. [Data Science Project on Youtube Trending Videos Analysis with Python](https://thecleverprogrammer.com/2020/11/28/youtube-trending-videos-analysis-with-python/?fbclid=IwAR06m4Ab_j0QelEaD56QtCDPHC2m3l4hEr72xgj90cMH0U4YN0ovKpwCyjs)
322 | 49. [10 Machine Learning Projects on Time Series Forecasting](https://amankharwal.medium.com/10-machine-learning-projects-on-time-series-forecasting-ee0368420ccd)
323 | 50. [500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code](https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code?fbclid=IwAR0VFY0oGMExA-zEvUxsFENK2F2sYbfn5NvPhKriB66lYd-fP4cN8lM-6rI)
324 | 51. [Real-Time Sentiment Analysis](https://thecleverprogrammer.com/2021/03/09/real-time-sentiment-analysis-using-python/)
325 | 52. [215+ Machine Learning Projects Solved and Explained](https://medium.com/coders-camp/215-machine-learning-projects-solved-and-explained-7bd6fd478897)
326 | 53. [Part 1-EDA-Audio Classification Project Using Deep Learning](https://www.youtube.com/watch?v=mHPpCXqQd7Y)
327 | 54. [Top 7 beginner projects in Machine Learning](https://iaviral.medium.com/top-7-beginner-projects-in-machine-learning-e66428ad6311)
328 | 55. [Build a Personal AI Trainer| OpenCV Python 2021 | Computer Vision](https://www.youtube.com/watch?v=5kaX3ta398w&ab_channel=Murtaza%27sWorkshop-RoboticsandAI)
329 | 56. [Data Science Real-World Use Cases ](https://www.udemy.com/course/data-science-real-world-use-cases-hands-on-python/learn/lecture/25430358#overview)
330 | 57. [Smart Attendance Management System Based On Face Recognition](https://www.youtube.com/watch?v=BECN0Cn7UAc&t=513s&ab_channel=PrabhatAle)
331 | 58. [Python Project Development](https://www.youtube.com/playlist?list=PLsT53VV2LIIFMeibhkk8C3YA9_EuuhF0R)
332 | 59. [AI Virtual Mouse | OpenCV Python | Computer Vision](https://www.youtube.com/watch?v=8gPONnGIPgw&ab_channel=Murtaza%27sWorkshop-RoboticsandAI)
333 | 60. [Face Recognition Authentication in Flutter using TensorFlow & Firebase ML](https://morioh.com/p/2e28055a9e86?f=5c224490c513a556c9042463&fbclid=IwAR216L51ZnQg4Q8BFOKzZDnhxO6tg_eQNbeI4BwIxnGfB5Yhy_EWChwSFdQ)
334 | 61. [Fake News Detection using LSTM in Tensorflow and Python](https://www.youtube.com/watch?v=eLjs52-gsJQ&ab_channel=KGPTalkie)
335 | 62. [Emotion Detection of Text Using Machine Learning and Python](https://www.youtube.com/watch?v=t1TkAcSDsI8&ab_channel=JCharisTech%26J-Secur1ty)
336 | 63. [Face Recognition Authentication in Flutter using TensorFlow & Firebase ML](https://morioh.com/p/2e28055a9e86f=5c224490c513a556c9042463&fbclid=IwAR2Sm1LPck7MNCtlWEWroDkLgqeG2RV3IRLv3-1OgnNzvLsLgxrU8bUTVRU)
337 | 64. [Machine learning project| | Student exam mark prediction using python|](https://www.youtube.com/watch?v=lN8AsMRiKP4&ab_channel=AKPython)
338 | 65. [Machine Learning Projects for Beginners|](https://thecleverprogrammer.com/2020/11/15/machine-learning-projects/)
339 | 66. [I tried building a Computer Vision Game in 12 Hours](https://www.youtube.com/watch?v=i_UiTIr4jTk&ab_channel=Murtaza%27sWorkshop-RoboticsandAI)
340 | 67. [predict a news headline|](https://github.com/lukefeilberg/onion/blob/master/Onion.ipynb)
341 | 68. [DS_and_ML_projects](https://github.com/hhhrrrttt222111/DS_and_ML_projects)
342 | 69. [Movies Review Sentiment Analysis in NLP](https://datascience2000.blogspot.com/2021/05/movies-review-sentiment-analysis-in-nlp.html?m=1&fbclid=IwAR1TOe-l8ZfkpyB791XZ2s_XABW1oLdo-vs1Iu8yEY5nuFWXE84PaGE13Qo)
343 | 70. [Machine Learning Tutorial with Turi Create and Python (Diabetes Risk Prediction)](https://www.youtube.com/watch?v=OSNvlK0HSdM&ab_channel=JCharisTech%26J-Secur1ty)
344 | 71. [230+ Machine Learning Projects with Python](https://medium.com/coders-camp/230-machine-learning-projects-with-python-5d0c7abf8265)
345 | 72. [Machine Learning Project : Weather prediction using Python ( Naïve Bayes )](https://www.youtube.com/watch?v=Gurfcd0i9jg)
346 | 73. [End-to-End Machine Learning Projects with Source Code](https://medium.com/coders-camp/end-to-end-machine-learning-projects-with-source-code-c727119800de)
347 | 74. [Build a Grammar Correction Python App with Gramformer and Gradio](https://www.youtube.com/watch?v=4htP-hmIBvc&ab_channel=NicholasRenotte)
348 | 75. [240+ Machine Learning Projects with Python](https://medium.com/coders-camp/230-machine-learning-projects-with-python-5d0c7abf8265)
349 | 76. [AI Virtual Mouse | OpenCV Python | Computer Vision](https://www.youtube.com/watch?v=8gPONnGIPgw&ab_channel=Murtaza%27sWorkshop-RoboticsandAI)
350 | 77. [Computer Vision Notebooks:](https://www.qblocks.cloud/creators/computer-vision-google-colab-notebooks)
351 | 78. [Predicting Football Results With the Poisson Distribution](http://www.pena.lt/y/2021/06/18/predicting-football-results-using-the-poisson-distribution/)
352 | 79. [End-to-End Machine Learning Projects](https://medium.com/coders-camp/end-to-end-machine-learning-projects-with-source-code-c727119800de)
353 | 80. [250+ Machine Learning Projects with Python](https://medium.com/coders-camp/230-machine-learning-projects-with-python-5d0c7abf8265)
354 | 81. [End-to-End Machine Learning Projects with Source Code](https://medium.com/coders-camp/end-to-end-machine-learning-projects-with-source-code-c727119800de?fbclid=IwAR3mlQYGQnz3IgsFtn_u3_dWCh0NoNmxKoSFqNJMnlb2soGCQyO8LflrB7k)
355 | 82. [7 BEST ARTIFICIAL INTELLIGENCE PROJECT IDEAS FOR BEGINNERS](https://www.analyticsinsight.net/7-best-artificial-intelligence-project-ideas-for-beginners/)
356 | 83. [255+ Machine Learning Projects with Python](https://medium.com/coders-camp/230-machine-learning-projects-with-python-5d0c7abf8265)
357 | 84. [8 Deep Learning Project Ideas for Beginners](https://www.kdnuggets.com/2021/09/8-deep-learning-project-ideas-beginners.html?fbclid=IwAR1WN-9tnaogLDrxtKy6FkSwo_R5gOB8Akomoqb1GbDZuPD-JATUu5wAQx4)
358 | 85. [Skin Cancer Detection Using CNN](https://medium.com/ai-techsystems/skin-cancer-detection-using-cnn-7ba3ca8d3dc3)
359 | 86. [Create Music Recommendation System Using Python](https://towardsdatascience.com/create-music-recommendation-system-using-python-ce5401317159)
360 | 87. [Credit Card Fraud Detection With Machine Learning in Python](https://medium.com/codex/credit-card-fraud-detection-with-machine-learning-in-python-ac7281991d87)
361 | 88. [Credit Card Fraud Detection With Machine Learning in Python](https://medium.com/codex/credit-card-fraud-detection-with-machine-learning-in-python-ac7281991d87)
362 | 89. [Fake News Classifier using Bidirectional LSTM](https://medium.com/ai-techsystems/fake-news-classifier-using-bidirectional-lstm-cebef77b0adc)
363 | 90. [YouTube Recommendation System – Machine Learning Project with Source Code](https://data-flair.training/blogs/youtube-video-recommendation-system-ml/?fbclid=IwAR212Q8yIGnPPRUwLzbVfdB1nYBuarjwua5ijv_WqS0h91Zm0M1YxEdRxYo)
364 | 91. [15 Amazing Deep Learning Project Ideas to Boost Your Resume](https://medium.com/projectpro/15-amazing-deep-learning-project-ideas-to-boost-your-resume-28782ed1d62f)
365 | 92. [Automate WhatsApp Messages with Python Instantly!](https://levelup.gitconnected.com/automate-whatsapp-messages-with-python-instantly-3e08d6600612)
366 | 93. [10 Best Machine Learning Projects with datasets](https://medium.com/@letthedataconfess/10-best-machine-learning-projects-with-datasets-6184839c9100)
367 | 94. [10 Time Series Projects with datasets](https://www.letthedataconfess.com/blog/2021/10/09/10-best-time-series-projects-to-practice-along-with-datasets/)
368 | 95. [ml_stress_detection](https://github.com/janprince/ml_stress_detection)
369 |
370 |
371 | 8. **Important Website For Projects**
372 | 1. [dataspoof](https://www.dataspoof.info/)
373 | 2. [blobcity](https://cloud.blobcity.com/code/explore#/ps/explore)
374 | 3. [data-flair.training](https://data-flair.training/blogs/youtube-video-recommendation-system-ml/?fbclid=IwAR212Q8yIGnPPRUwLzbVfdB1nYBuarjwua5ijv_WqS0h91Zm0M1YxEdRxYo)
375 | 4. [ai-techsystems](https://medium.com/ai-techsystems/whale-detection-using-aerial-images-b535ea3cc932)
376 | 5. [Data Science Tutorial](https://www.datascience2000.in/)
377 | 6. [Data Science Tutorial](https://datascience2000.blogspot.com/)
378 | 7. [Top 10 most promising AI ](https://www.immuniweb.com/blog/top-AI-research-projects-2021.html?fbclid=IwAR1B9oXnqVLlZLtUc8323REWkHotLLtMRr18z50odhLqOealtY3Awr1TJXU)
379 | 8. [Graph Algorithms](https://github.com/hussain0048/Machine-Learning/tree/master/Sklearn/Graph%20Algorithms)
380 | 9. [Murtaza's Workshop - Robotics and AI](https://www.youtube.com/channel/UCYUjYU5FveRAscQ8V21w81A)
381 | 10. [projectsbasedlearning](https://projectsbasedlearning.com/)
382 | 11. [laconicml](https://laconicml.com/category/computer-vision/)
383 | 12. [Machine Learning Hub](https://www.youtube.com/c/MachineLearningHub)
384 | 13. [techprofree](http://www.techprofree.com/category/projects/?fbclid=IwAR1OqTkkmEr26r-aiXqVc4m30WWiHBx2Uilxia5NII3nxu_S1ScDUCPZkro)
385 | 14. [Mathematics behind Data Science](https://www.youtube.com/watch?v=iq1pqWaXgOw&list=PLKR38d5oOkckjyQFQLjYumMJSgRCEpKeK)
386 | 15. [Machine Learning Projects](https://github.com/aswintechguy/Machine-Learning-Projects)
387 | 16. [7 Computer Vision Projects for All Levels](https://www.kdnuggets.com/7-computer-vision-projects-for-all-levels)
388 |
389 | details>
390 |
391 |
392 |
393 |
394 | ## 💻 Workflow for Contributions:
395 |
396 | 1-**Students Fork the Repository**
397 |
398 | - Each student forks your GitHub repo to their account.
399 | - They work on their portion in their own forked repo.
400 |
401 | 2- **Students Create Feature Branches**
402 |
403 | - Instead of working directly on main, they create a feature branch
404 |
405 | 3- **SCommit & Push Changes**S
406 |
407 | - Students make changes, commit them, and push to their branch
408 |
409 | 4- **Submit Pull Requests (PRs)**
410 |
411 | - Once they complete their portion, they submit a Pull Request (PR) to your main repository.
412 | - As the project owner, you review their PRs and merge them after approval.
413 |
414 | ## ⚙️ **Tracking Student Contributions**
415 |
416 | - Use GitHub Issues: Assign tasks to students using GitHub issues.
417 | - Use Project Boards: GitHub Projects can help track progress.
418 | - Use Pull Request Reviews: To ensure code quality before merging.
419 | - Set Milestones: Define deadlines for each task.
420 |
421 | ## ⚙ **Finalizing the Project**
422 | Once all contributions are merged:
423 | - Conduct a final review and clean up unnecessary files.
424 |
425 | Generate a final report including
426 | - Contributions by each student.
427 | - A working demo.
428 | - Documentation for future users.
429 |
430 | ## **✨Top Contributors**
431 | We would love your help in making this repository even better! If you know of an amazing AI course that isn't listed here, or if you have any suggestions for improvement in any course content, feel free to open an issue or submit a course contribution request.
432 |
433 | Together, let's make this the best AI learning hub website! 🚀
434 |
435 | Thanks goes to these Wonderful People. Contributions of any kind are welcome!🚀
436 |
437 |
438 | 
439 |
440 |
441 |
442 |
443 |
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/README .md:
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1 |
2 | ## **Streamlit WhatsApp Messaging Application👨🎓📚**
3 |
4 |
5 | 
6 |
7 |
8 | ## **Overview 🎯**
9 |
10 | [Streamlit WhatsApp Messaging Application](https://chatgpt.com/c/67ca7156-0568-800e-bd1c-fa346667ced8)
11 | [Complete Script](https://chatgpt.com/c/67ca7156-0568-800e-bd1c-fa346667ced8)
12 |
13 | The Streamlit WhatsApp Messaging Application is a web-based tool designed to send automated WhatsApp messages to individual contacts and groups. It supports bulk messaging, scheduled messages, and multimedia sharing, making it ideal for marketing campaigns, notifications, and personal communication. The application is built using Python, Streamlit, and PyWhatKit, ensuring seamless WhatsApp Web automation.
14 |
15 | ## **Objectives🎯**
16 |
17 | 1- Develop an easy-to-use web interface using Streamlit.
18 |
19 | 2- Automate WhatsApp messaging with PyWhatKit.
20 |
21 | 3- Enable bulk messaging to contacts and groups.
22 |
23 | 4- Support scheduled messages for future delivery.
24 |
25 | 5- Allow sending of multimedia (images, videos, documents).
26 |
27 | 6- Provide message logs and status tracking.
28 |
29 | 7-Order & Payment Notifications 💰
30 |
31 | ## **System Architecture🎯**
32 |
33 | The system consists of three main components:
34 |
35 | 1. **Frontend (Streamlit Web App)**
36 |
37 | - User-friendly dashboard for managing messages.
38 |
39 | - Input fields for recipient numbers, message text, and attachments.
40 |
41 | - Schedule messages using a simple UI..
42 |
43 | 2. **Backend (Python & PyWhatKit)**
44 |
45 | - Uses PyWhatKit to send messages via WhatsApp Web.
46 |
47 | - Handles scheduling of messages.
48 |
49 | - Supports logging and error handling..
50 |
51 | 3. **Database (Optional - MySQL / Firebase)**
52 |
53 | - Stores sent messages, delivery status, and logs.
54 |
55 | - Allows retrieving message history for analysis.
56 |
57 | ## **Key Features 📌**
58 |
59 | ✅ Send messages to individual WhatsApp contacts.
60 |
61 | ✅ Bulk messaging to multiple contacts.
62 |
63 | ✅ WhatsApp group messaging for streamlined communication.
64 |
65 | ✅ Schedule messages for future delivery.
66 |
67 | ✅ Supports multimedia (images, videos, documents).
68 |
69 | ✅ User-friendly web interface with Streamlit.
70 |
71 | ✅ Message logs and tracking for sent messages.
72 |
73 | ✅ Order & Payment Notifications 💰-Send auto-updates on order status or payment reminders.
74 |
75 | ✅ WhatsApp Chatbot for FAQs 🤖-Reply automatically to customer inquiries (e.g., business hours, pricing).
76 |
77 | ✅ Upload CSV File: Users can upload a CSV containing phone numbers.
78 |
79 | ✅ Automatic Parsing: The app extracts valid phone numbers from the file.
80 |
81 | ✅ Supports Manual Input: Users can still enter numbers manually if they prefer.
82 |
83 | ## **Next 📌**
84 |
85 | Customer Database Integration 📊
86 |
87 | Store customer info (names, phone numbers, last interaction, etc.).
88 | Auto-fetch customer details when sending messages.
89 | Automated Follow-Ups 🔁
90 |
91 | Send reminder messages if no response after a certain time.
92 | Follow up with discounts or offers automatically.
93 |
94 |
95 |
96 | ## **Technology Stack📂**
97 |
98 | 1. **Frontend** : Streamlit (Python Web Framework).
99 | 2. **Backend**: Python + PyWhatKit (for WhatsApp messaging),pyautogui(pyautogui is a Python library used for automating mouse and keyboard actions.),Twilio API .,Selenium
100 | 3. **Database (Optional)**: MySQL / Firebase (for message storage).
101 | 4. **Hosting** - Can be deployed on Streamlit Cloud, Heroku, or a local server
102 |
103 |
104 |
105 |
106 | ## **Development Plan🔍**
107 |
108 | **Phase 1**: Prototype Development (2–4 weeks)
109 |
110 | ✔️ Develop a basic Streamlit UI for message input.
111 |
112 | ✔️ Integrate PyWhatKit for WhatsApp messaging.
113 |
114 | ✔️ Test basic message sending functionality.
115 |
116 | ✔️ Implement logging and error handling.
117 |
118 | **Phase 2**: Feature Expansion (1–2 months)
119 |
120 | 🚀 Add bulk messaging capability.
121 |
122 | 🚀 Implement message scheduling.
123 |
124 | 🚀 Support multimedia messaging (images, videos, documents).
125 |
126 | 🚀 Enhance UI for better user experience.
127 |
128 | **Phase 3:** Full Deployment (3+ months)
129 |
130 | 📢 Deploy the final version on a server.
131 |
132 | 📢 Implement database storage for message history.
133 |
134 | 📢 Optimize for performance and security.
135 |
136 | 📢 Expand for enterprise-level use cases.
137 |
138 | ## **Sustainability & Future Roadmap🤝**
139 |
140 | 🔹 Integration with WhatsApp Business API for large-scale messaging.
141 |
142 | 🔹 Advanced Analytics Dashboard for message tracking.
143 |
144 | 🔹 Contact Management System to save frequent recipients.
145 |
146 | 🔹 Smart Auto-replies & AI Chatbot Integration.
147 |
148 | ## **📬 Contact**
149 |
150 | For inquiries and contributions, contact Dr. Mushtaq at:
151 |
152 | - Email: mushtaqmsit@gmail.com, Skype ID:themushtaq48
153 |
154 | - LinkedIn: [Company LinkedIn](https://www.linkedin.com/in/mushtaq-hussain-21417814/)
155 |
156 | - YouTube: [CoursesTeach](https://www.youtube.com/@coursesteach-mv5si/videos)
157 |
158 | - Website: [CoursesTeach](https://coursesteach.com/)
159 |
160 |
161 | Projects 01 - ⚙️Machine Learning
162 |
163 | | Project Title/blog | Description | Notebook |Category|To do List|Resource Link |Completed|
164 | |---|---|---|---|---|---|---|
165 | |[**🌐1- Stock Price Prediction using linear regression**](https://medium.com/@Coursesteach/stock-price-prediction-using-linear-regression-4839bc1240f0) |Acc=.99, Model=Linear Regression, Techniquest: sklearn, Label enconding, chained equations (MICE) |[](https://github.com/hussain0048/Projects-/blob/master/Stock_Price_Prediction.ipynb)|Regression|1- Try other regression models|---|☑|
166 | |[**🌐2- Predict Ads Click Practice Data_Analysis**](https://medium.com/@Coursesteach/stock-price-prediction-using-linear-regression-4839bc1240f0) |Acc=.99, Model=Linear Regression, Techniquest: sklearn, Label enconding, chained equations (MICE) |[](https://github.com/hussain0048/Projects-/blob/master/Predict_Ads_Click_%E2%80%93_Practice_Data_Analysis_and_Logistic_Regression_Prediction.ipynb)|Classification|1- Try other regression models|---|---|
167 | |[**🌐3- linkedIn_auto_jobs_applier_with_AI.**](https://medium.com/@Coursesteach/stock-price-prediction-using-linear-regression-4839bc1240f0) |Acc=.99, Model=Linear Regression, Techniquest: sklearn, Label enconding, chained equations (MICE) |[](https://github.com/hussain0048/Projects/blob/master/linkedIn_auto_jobs_applier_with_AI.ipynb)|Classification|1- Try other regression models|---|Pending|
168 |
169 |
170 |
171 |
172 |
173 | Projects 02 - ⚙️Deep Learning
174 |
175 | | Project Title | Description | Code |Category|To do list|Creator|Added|Completed|
176 | |---|---|---|---|---|---|---|---|
177 | |[**🌐1- Credit Card Fraud Detection**](https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras/tree/master) |Autoencoders,Keras| [](https://github.com/hussain0048/Projects-/blob/master/Image_Data_Preprocessing.ipynb) |Preprocessing|Add more Preprocessing steps|Dr.Mushtaq|2024-06-08|Pending|
178 |
179 |
180 |
181 |
182 | Projects 03 - ⚙️Computer Vision
183 |
184 | | Project Title | Description | Code |Category|To do list|Creator|Added|Completed|
185 | |---|---|---|---|---|---|---|---|
186 | |[**🌐1- Build a simple image Classifer**](https://medium.com/@Coursesteach/build-a-simple-image-classifier-using-fashion-dataset-a46cd0dfcd39) |Accuracy 13-80%,Model=multilayer perceptron, Keras, | [](https://github.com/hussain0048/Projects-/blob/master/Build_a_simple_image_classifier.ipynb) |Classification|Try other Deep learning model,CNN,etc|Dr Mushtaq|2020-09-06|☑|
187 | |[**🌐2- Convert Color Image to Sketch**](https://medium.com/@Coursesteach/convert-color-image-to-sketch-9fd1781dce52) |gaussian filter,dogding| [](https://github.com/hussain0048/Projects-/blob/master/Convert_Color_Image_to_Sketchipynb.ipynb) |Filtering|Try technique|Dr.Mushtaq|2024-04-20|☑|
188 | |[**🌐3- Building a Real Time Emotion Detection with Python**](https://medium.com/@Coursesteach/building-a-real-time-emotion-detection-with-python-7fe6090a125d) |CNN=57.67,Kera| [](https://github.com/hussain0048/Projects-/blob/master/Building_a_Real_Time_Emotion_Detection_with_Python.ipynb) |Classification|-Real time detection not working(Need to correct in colab)- Try others DL techniqueS|Dr.Mushtaq|2024-04-27|☑|
189 | |[**🌐4- Age, Gender and Race Prediction**](https://medium.com/@Coursesteach/age-gender-and-race-prediction-21acd3193bf4) |Age Prediction=CNN= ACC=.91,Gender Prediction=CNN Acc=,86, Ethnicity Prediction CNN Acc=0.74,Kera| [](https://github.com/hussain0048/Projects-/blob/master/Age%2C_Gender_and_Race_Prediction.ipynb) |Classification|-Real time detection not working(Need to correct in colab)- Try others DL techniqueS|Dr.Mushtaq|2024-06-2|☑|
190 | |[**🌐5- Image Preprocessing using Python**](https://medium.com/@Coursesteach/image-preprocessing-using-python-2db2fd91618a) |Python,scikit-image| [](https://github.com/hussain0048/Projects-/blob/master/Image_Data_Preprocessing.ipynb) |Preprocessing|Add more Preprocessing steps|Dr.Mushtaq|2024-06-08|☑|
191 | |[**🌐6- Traffic Sign Classification with Keras and Deep Learning**](https://medium.com/@Coursesteach/traffic-signal-classification-with-keras-and-deep-learning-426fd895ac7e) |Python,scikit-image,OpenCV,NumPy, CNN Test acc:.97| [](https://github.com/hussain0048/Projects/blob/master/Traffic_Sign_Classification_with_Keras_and_Deep_Learning.ipynb) |Classification |Add more Preprocessing steps and Computer Vision methods|Dr.Mushtaq|2024-08-16|☑|
192 |
193 |
194 |
195 |
196 |
197 |
198 | Projects 04 - ⚙️ Natural language processing
199 |
200 | | Project Title/blog | Description | NoteBook |Category|Todo List|Creator|Added|Completed|
201 | |---|---|---|---|---|---|---|---|
202 | |[**🌐1- Chatbot Development for Healthcare Assistants using ERPNext and Android**](https://medium.com/@Coursesteach/spam-detection-using-machine-learning-methods-dd5dbc799b6b) |Naive Bayes=95-97%, SVM=98-99, CountVectorizer,Scikit-learn,Grid Search CV | [](https://github.com/hussain0048/Projects-/blob/master/Spam_Detection_using_Machine_Learning.ipynb)|Text Classification|-try other classification model 2) Try to text preprocessing method stop word etc|Dr.Mushtaq|2024-04-12|☑|
203 | |[**🌐2-Hate Speech Detection with Machine Learning**](https://medium.com/@Coursesteach/hate-speech-detection-with-machine-learning-c7d12a217e69) |DT=75%,CountVectorizer ,Scikit-learn | [](https://github.com/hussain0048/Projects-/blob/master/Hate_Speech_Detection_with_Machine_Learning(_Decsion_Tree)_(1).ipynb)|Text Classification|-try other classification model 2) Try to text preprocessing method stop word etc|Dr Mushtaq|2024-04-21|☑|
204 | |[**🌐3-Detecting Sports Content with Machine Learning**](https://medium.com/@Coursesteach/detecting-sports-content-with-machine-learning-ec9c3138166e) |SVM=66%,CountVectorizer ,Scikit-learn | [](https://github.com/hussain0048/Projects-/blob/master/Detecting_Sports_Content_with_Machine_Learning%22.ipynb)|Text Classification|-try other classification model 2) Try to text preprocessing method stop word etc|Dr Mushtaq|2024-04-28|☑|
205 | |[**🌐4-Personality Prediction Through CV**](https://github.com/HiteshAgarwal1/Personality-Prediction-Through-CV/tree/master) |SVM=66%,CountVectorizer ,Scikit-learn | [](https://github.com/hussain0048/Projects-/blob/master/Detecting_Sports_Content_with_Machine_Learning%22.ipynb)|Text Classification|-try other classification model 2) Try to text preprocessing method stop word etc|Dr Mushtaq|2024-04-28|Pending|
206 | |[**🌐5-Using Machine Learning to Predict Movie Reviews**](https://medium.com/@Coursesteach/using-machine-learning-to-predict-movie-reviews-82b0ab1db313) |Gaussian = 0.7843,Multinomial = 0.831,, Bernoulli = 0.8386 | [](https://github.com/hussain0048/Projects-/blob/master/Movie_Reviews_through_Sentiment_Analysis_in_NLP.ipynb)|Sentiment Analysis|Apply other DL and ML with new processing steps|Dr Mushtaq|2024-05-05|☑|
207 | |[**🌐6-Text-Preprocessing-1**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Tokenization,stemming,lemmatization,stopword,postagging | [](https://github.com/hussain0048/Projects-/blob/master/Tokenization_stemming_lemmatization_stopword_postagging.ipynb)|Preprocessing|--|Dr Mushtaq|2024-05-26|☑|
208 | |[**🌐7-Important Python script for NLP Task**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/hussain0048/Projects-/blob/master/Important_Python_script.ipynb)|Script|--|Dr Mushtaq|2024-05-26|inProcess|
209 | |[**🌐8-Stress Detection with Machine Learning**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/hussain0048/Projects-/blob/master/Stress_Detection_with_Machine_Learning.ipynb)|Script|--|Dr Mushtaq|2024-05-26|Pending|
210 | |[**🌐9-Next Word Prediction Model**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/hussain0048/Projects-/blob/master/Next_Word_Prediction_Model.ipynb)|Script|--|Dr Mushtaq|2024-05-26|Pending|
211 | |[**🌐10-Emotion Detection in Text**](https://medium.com/@Coursesteach/emotion-detection-in-text-5b8d05db655f) | TF-IDF (naive bayes -0.50,svm 0.56,logistic regression 0.5,random forest 0.552 ) & Count Vectors(naive bayes -0.76,svm 0.79,logistic regression 0.79 )| [](https://github.com/hussain0048/Projects/blob/master/Emotion_Detection_in_Text.ipynb)|Sentiment Analysis|--|Dr Mushtaq|2024-9-16|☑|
212 | |[**🌐10-Auto Apply for Job with AI**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/hussain0048/Projects/blob/master/Auto_Apply_for_Job_with_AI.ipynb)|Script|--|Dr Mushtaq|2024-05-26|Pending|
213 | |[**🌐11-Chatbot in Healthcare**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/hussain0048/Projects/blob/master/chatbot_in_Healthcare.ipynb)|Script|--|Dr Mushtaq|2024-05-26|Pending|
214 | |[**🌐12-File Organizer**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/dr-mushtaq/Projects/blob/master/File_organizer.ipynb)|Script|--|Dr Mushtaq|2024-05-26|Pending|
215 | |[**🌐13-Plagiarism-checker-Python**](https://medium.com/@Coursesteach/tokenization-stemming-lemmatization-stopword-and-pos-tagging-in-python-31b945b3c233) |Text to Spech | [](https://github.com/dr-mushtaq/Projects/blob/master/Plagiarism_checker_Python.ipynb)|Script|--|Dr Mushtaq|2024-05-26|Pending|
216 |
217 |
218 |
219 |
220 | Catorgy 05 - ⚙️Student Contributions
221 | Each student forks the repository and works on their assigned task.
222 | Each student (or group) can be assigned specific modules of the project. For example:
223 |
224 | | Module | Assigned To | Task |Created|Completed
225 | |---|---|---|---|---|
226 | |[**🌐1-Generating QR Code in Python**](https://medium.com/@Coursesteach/generating-qr-code-in-python-b2e270422637) | Python,qrcode | [](https://github.com/hussain0048/Projects-/blob/master/QR_Code_Generation_using_Python.ipynb)|Saad Abbasi|☑ |
227 | |[**🌐1-Important Python Script**](https://medium.com/@Coursesteach/important-python-scripts-to-save-your-time-1bb839cd7600) | Python,qrcode | [](https://github.com/hussain0048/Projects-/blob/master/Important_Python_script.ipynb)|Saad Abbasi|☑ |
228 |
229 |
230 |
231 |
232 | Category 06 - ⚙️ Road Map
233 |
234 | ## 📚Chapter: 1 **Database**
235 |
236 | | Topic Title | Blog | Video |
237 | |---|---|---|
238 | | [**1-Building **](https://docs.google.com/document/d/1YfLZxg0mNAuQhWTqDrDkewkVgVnhIAoS/edit) | [**Dataset**](https://github.com/hussain0048/Projects-/blob/master/intentsnew%20(6).json) | [](https://github.com/hussain0048/Projects-/blob/master/Model_Training_2.ipynb) |-|
239 |
240 | ## 📚Chapter: 2 **Machine Learning**
241 |
242 | | | f1 | precision | recall | accuracy | training_time | inference_time |
243 | |---|---|---|---|---|---|---|
244 | | NB | 0.830188679245283 | 0.8461538461538461| 0.8148148148148148| 0.8085106382978723 | 0.0032272338867187 | 0.0007801055908203|
245 | | LR | 0.8518518518518519 | 0.8846153846153846 | 0.8214285714285714| 0.8297872340425532| 0.0356471538543701| 0.0002150535583496|
246 | | KNN | 0.7058823529411765| 0.6923076923076923| 0.72| 0.6808510638297872| 0.0005688667297363 | 0.0972669124603271|
247 | | SVM | 0.8518518518518519 | 0.8846153846153846 | 0.8214285714285714 | 0.8297872340425532| 0.0274648666381835 | 0.0030479431152343|
248 | | XGBoost | 0.9122807017543859 | 1.0 | 0.8387096774193549 | 0.8936170212765957| 0.241973876953125| 0.0040738582611083984|
249 | | RoBERTa| 0.9230769230769231| 0.9230769230769231| 0.9230769230769231 | 0.9148936170212766| 24968.250607967377| 68.44634509086609|
250 |
251 |
252 |
253 | 📝 Resources
254 |
255 | | Title | Description| Type |
256 | |---|---|---|
257 | | [**1-Complate Road Map With ChatGPT**](https://chatgpt.com/c/67ca7156-0568-800e-bd1c-fa346667ced8)|it show ERPNET Installation |Video|
258 | |[**2-Adding bot feature in whatsapp app?**](https://chatgpt.com/c/67cd3344-f3fc-800e-920a-6a69734dcad9)|Health related project| Project|
259 | |[**3-WhatsApp Business API Overview**](https://github.com/dr-mushtaq/Streamlit-WhatsApp-Messaging-Application/blob/main/WhatsApp%20Business%20API%20Overview.docx)|It is detail about Whatsap API|Video|
260 | |[**4-Machine Learning Notebooks**](https://github.com/dair-ai/ML-Notebooks)|ML,NLP,Transformers,Computer Vision,GAN|All|
261 | |[**5-Real-time-ML-Project**](https://github.com/ashishpatel26/Real-time-ML-Project)|Machine Learning and Data Science Applications in Industry|All|
262 | |[**6-Machine Learning Collection**](https://github.com/aladdinpersson/Machine-Learning-Collection?fbclid=IwZXh0bgNhZW0CMTAAAR0rAF-kyWSHTbqOndesJvQF_My4ECStZJ3dJv67jkNgBSzWiCZuqE0kzrk_aem_AeHJgbUrzIErDWrJ78xSXhzRSakIRnRF_XgRykvhK4e_tvGtgf7O8dE1mBaj_AsnkJx6FtyxEwQ8RBeKHV3KYgA1)|Basic to Advane, Video|All|
263 | |[**7-Data Science Projects**](https://github.com/veb-101/Data-Science-Projects)|Basic to Advane, Video|All|
264 | |[**8-Introduction to Machine Learning**](https://github.com/codeheroku/Introduction-to-Machine-Learning/tree/master)|Basic to Advane, Video|All|
265 | |[**9-Best-of Machine Learning with Python**](https://github.com/ml-tooling/best-of-ml-python?fbclid=IwZXh0bgNhZW0CMTEAAR2eFaT5BBVrkMcqaT4zGwy60y2ErdckbkoUfrDFIb7dfI1swdNNiTd3Ow8_aem_AaJ2k7sLJEQU5GttjniHz3Z2JjnSzZm5h1cVq4T3vEuU05iWpjBdKLz3xWHJE_ZBKqxhQRtyBhQI--n-Xa0v92oN)|ML,NLP,CV,Forcasting|---|
266 | |[**10-Awesome-AI-Data-Guided-Projects**](https://github.com/youssefHosni/Awesome-AI-Data-Guided-Projects)|ML,NLP,CV,Forcasting|---|
267 | |[**11-awesome-python-projects**](https://github.com/garimasingh128/awesome-python-projects/tree/master)|ML,NLP,CV,Forcasting|---|
268 | |[**12-All-In-One-Python-Projects**](https://github.com/king04aman/All-In-One-Python-Projects/tree/main)|Python Basic- Advance|---|
269 | |[**13-Machine-Learning-Projects-aswintechguy**](https://github.com/aswintechguy/Machine-Learning-Projects/tree/master)|Python Basic- Advance|---|
270 | |[**14-Machine-Learning-with-Python**](https://github.com/susanli2016/Machine-Learning-with-Python/tree/master)|Python Basic- Advance|---|
271 | |[**15-awesome-llm-apps**](https://github.com/Shubhamsaboo/awesome-llm-apps?fbclid=IwZXh0bgNhZW0CMTAAAR1zFKbLZyc32Ry7tyXX66Pv1xa1RrDfVCjsGHjrSh0GbGxsuHEym3MTRiE_aem_uqDX_m-vN7pacaT-_gGGDg)|Awesome LLM Apps|---|
272 | |[**16-Project Based Learning**](https://github.com/practical-tutorials/project-based-learning?tab=readme-ov-file#python)|Python Basic- Advance|---|
273 |
274 |
275 |
276 |
277 | - [**Assignment 1: Python Basics with Numpy**](https://github.com/hussain0048/Deep-Learning/blob/master/Python_Basics_With_Numpy_v3.ipynb)
278 |
279 | ##[**Alogrithems**](https://github.com/hussain0048/Deep-Learning-with-Keras/tree/master/Alogrithems)
280 | - [DL0101EN-3-1-Regression-with-Keras-py-v1.0.ipynb](https://github.com/hussain0048/Deep-Learning-with-Keras/blob/master/Alogrithems/DL0101EN-3-1-Regression-with-Keras-py-v1.0.ipynb)
281 | - [DL0101EN-3-2-Classification-with-Keras-py-v1.0.ipynb](https://github.com/hussain0048/Deep-Learning-with-Keras/blob/master/Alogrithems/DL0101EN-3-2-Classification-with-Keras-py-v1.0.ipynb)
282 | - [Keras - Tutorial - Happy House v1.ipynb](https://github.com/hussain0048/Deep-Learning-with-Keras/blob/master/Alogrithems/Keras%20-%20Tutorial%20-%20Happy%20House%20v1.ipynb)
283 | - [Keras_for_Beginners_Implementing_a_Convolutional_Neural_Network](https://github.com/hussain0048/Deep-Learning-with-Keras/blob/master/Alogrithems/Keras_for_Beginners_Implementing_a_Convolutional_Neural_Network%20(1).ipynb)
284 | - [Keras_for_Beginners_Building_Your_First_Neural_Network.ipynb](https://github.com/hussain0048/Deep-Learning-with-Keras/blob/master/Alogrithems/Keras_for_Beginners_Building_Your_First_Neural_Network.ipynb)
285 |
286 | * [**Need to Implement**]()
287 | * [Text Classification — CNN with LSTM](https://anandsarank.medium.com/cnn-with-lstm-for-text-classification-53d18e5f7f5c)
288 | * [Step-by-Step Guide — Building a Prediction Model in Python](https://towardsdatascience.com/step-by-step-guide-building-a-prediction-model-in-python-ac441e8b9e8b)
289 | * [**Important Website**]()
290 | * [victorzhou](https://victorzhou.com/)
291 | *
292 |
293 | # Table of Content
294 |
295 | ## Tabl of Content
296 | 1. [**Computer Vision**](https://github.com/hussain0048/Projects-/tree/master/Computer%20Vision)
297 | 1. [Human_Activity_Recognition](https://github.com/hussain0048/Projects-/blob/master/Computer%20Vision/Human_Activity_Recognition.ipynb)
298 | 2. [Building_a_Real_Time_Emotion_Detection_with_Python](https://github.com/hussain0048/Projects-/blob/master/Computer%20Vision/Building_a_Real_Time_Emotion_Detection_with_Python.ipynb)
299 | 3. [**Deep Learning**](https://github.com/hussain0048/Projects-/tree/master/DL)
300 | 4. [**Freelancer**](https://github.com/hussain0048/Projects-/tree/master/Freelancer)
301 | 1. [AI_Assigment](https://github.com/hussain0048/Projects-/blob/master/Freelancer/AI_Assigment.ipynb)
302 | 5. [**Machine Learning**](https://github.com/hussain0048/Projects-/tree/master/ML)
303 | 2. [Movie_Recommender_9_26_2020.ipynb](https://github.com/hussain0048/Projects-/blob/master/ML/Movie_Recommender_9_26_2020.ipynb)
304 | 3. [Predict_IPL_Winner_with_ML.ipynb](https://github.com/hussain0048/Projects-/blob/master/ML/Predict_IPL_Winner_with_ML.ipynb)
305 | 4. [Credit_Card_Fraud_Detection_DT_and_RF.ipynb](https://github.com/hussain0048/Projects-/blob/master/ML/Credit_Card_Fraud_Detection_DT_and_RF.ipynb)
306 | 5. [President_Heights_exploratory_data.ipynb](https://github.com/hussain0048/Projects-/blob/master/ML/President_Heights_exploratory_data.ipynb)
307 | 6. [Birth Rate Analysis](https://github.com/hussain0048/Projects-/blob/master/ML/Birth_Rate_Analysis.ipynb)
308 | 7. [Data Science Project on Area and Population](https://github.com/hussain0048/Projects-/blob/master/ML/Data_Science_Project_on_Area_and_Population.ipynb)
309 | 8. [How to Save a Machine Learning Model?](https://github.com/hussain0048/Projects-/blob/master/ML/How_to_Save_a_Machine_Learning_Model.ipynb)
310 | 9. [Hate Speech Detection with Machine Learning](https://github.com/hussain0048/Projects-/blob/master/ML/Hate_Speech_Detection_with_Machine_Learning(_Decsion_Tree)%20(1).ipynb)
311 | 6. [**Machine Learning End to End**](https://github.com/hussain0048/Projects-/tree/master/Machine%20Learning%20End%20to%20End)
312 | 1. [Build_and_Deploy_Data_Science_Products](https://github.com/hussain0048/Projects-/blob/master/Machine%20Learning%20End%20to%20End/Build_and_Deploy_Data_Science_Products_.ipynb)
313 | 2. [End-to-End Machine Learning Model](https://github.com/hussain0048/Projects-/blob/master/Machine%20Learning%20End%20to%20End/End_to_End_Machine_Learning_Model.ipynb)
314 | 3. [End-to-End Fake News Detection with Python](https://github.com/hussain0048/Projects-/blob/master/Machine%20Learning%20End%20to%20End/End_to_End_Fake_News_Detection_with_Python_(Naybaies_Streamlite).ipynb)
315 | 7. [**Natural Language Processing**](https://github.com/hussain0048/Projects-/tree/master/National%20Language%20processing)
316 | 2. [Next_Word_Prediction](https://github.com/hussain0048/Projects-/blob/master/National%20Language%20processing/Next_Word_Prediction.ipynb)
317 | 3. [Summarize_Text_with_Machine_Learning](https://github.com/hussain0048/Projects-/blob/master/National%20Language%20processing/Summarize_Text_with_Machine_Learning.ipynb)
318 | 4. [Chatbot_using_Python.ipynb](https://github.com/hussain0048/Projects-/blob/master/National%20Language%20processing/Chatbot_using_Python.ipynb)
319 | 5. [Text_Classification](https://github.com/hussain0048/Projects-/blob/master/National%20Language%20processing/Text_Classification.ipynb)
320 | 6. [End-to-End Spam Detection with Python](https://github.com/hussain0048/Projects-/blob/master/National%20Language%20processing/End_to_End_Spam_Detection_with_Python.ipynb)
321 | 7. [Fake_News_Classifier_using_Bidirectional_LSTM.ipynb](https://github.com/hussain0048/Projects-/blob/master/National%20Language%20processing/Fake_News_Classifier_using_Bidirectional_LSTM.ipynb)
322 | 8. [**Recommender System**](https://github.com/hussain0048/Projects-/tree/master/Recommender%20System)
323 | 1. [Amazon_Recommendation_System_using_Python)_.ipynb](https://github.com/hussain0048/Projects-/blob/master/Recommender%20System/Amazon_Recommendation_System_using_Python.ipynb)
324 | 2. [Movie_Recommender_9_26_2020](https://github.com/hussain0048/Projects-/blob/master/Recommender%20System/Movie_Recommender_9_26_2020.ipynb)
325 | 3. [Content_Based_Filtering_in_Machine_Learning.ipynb](https://github.com/hussain0048/Projects-/blob/master/Recommender%20System/Content_Based_Filtering_in_Machine_Learning.ipynb)
326 | 9. [**Time Series Forecasting**](https://github.com/hussain0048/Projects-/tree/master/Time%20Series%20Forecasting)
327 | 1. [Covid_19_Cases_Prediction_with_Python (1).ipynb](https://github.com/hussain0048/Projects-/blob/master/Time%20Series%20Forecasting/Covid_19_Cases_Prediction_with_Python%20(1).ipynb)
328 | 2. [Time_Series_with_LSTM_in_Machine_Learning.ipynb](https://github.com/hussain0048/Projects-/blob/master/Time%20Series%20Forecasting/Time_Series_with_LSTM_in_Machine_Learning.ipynb)
329 | 11. **Project Need to Implement**
330 | 1. [How to Detect Passive and Active Voice in Your Writing Using an LSTM](https://www.bobbywlindsey.com/2021/01/09/how-to-detect-passive-and-active-voice-in-your-writing-using-an-lstm/)
331 | 2. [How to Create a Chrome Plugin using Python](https://morioh.com/p/0e3b33fe9851?f=5c21fb01c16e2556b555ab32&fbclid=IwAR0598Gqq6NVxJD14TBFSAftpi9dj-lGuovz8v4_JwERcHuJWiTqcJW9_78)
332 | 3. [Face Recognition Based Attendance System| Python| OpenCV](https://www.youtube.com/watch?v=y1o33D44AtI&ab_channel=ArtificialIntelligenceHub)
333 | 4. [UBER RIDES PREDICTION USING MACHINE LEARNING | Complete Project](https://www.youtube.com/watch?v=qoI_PwI6mBs&ab_channel=ArtificialIntelligenceHub)
334 | 5. [Predict Ads Click – Practice Data Analysis and Logistic Regression Prediction](https://projectsbasedlearning.com/apache-spark-machine-learning/predict-ads-click-practice-data-analysis-and-logistic-regression-prediction/?fbclid=IwAR3zhEqrzxRg5TP0lzd2MuZ_9XIrr5dXGU-h26_MWEV6wcuB7T2k15HzxsM)
335 | 6. [Beginner Machine Learning Projects with data:](https://www.reddit.com/r/learnmachinelearning/comments/l9ssx6/beginner_machine_learning_projects_with_data/)
336 | 7. [ai-powered storytelling convert text into video stories](https://partners.nius.tv/?ref=producthunt)
337 | 8. [Learn to create AI Assistant (JARVIS) With Python](https://www.udemy.com/course/learn-to-create-ai-voice-assistant-jarvis-with-python/learn/lecture/21404920#overview)
338 | 9. [Data Science Real-World Use Cases - Hands On PythonYour progress](https://www.udemy.com/course/data-science-real-world-use-cases-hands-on-python/learn/lecture/25430358components=buy_button%2Cdiscount_expiration%2Cgift_this_course%2Cpurchase%2Cdeal_badge%2Credeem_coupon&couponCode=MAY_SALE#overview)
339 | 10. [How to Build Bioinformatics Tools](https://www.youtube.com/watch?v=LHM0Couv0w4&ab_channel=DataProfessor)
340 | 11. [TOP 10 OPENCV PROJECTS in 2020](https://www.murtazahassan.com/courselist/)
341 | 12. [Predict The Future Price of Etherium Using Python & Machine Learning](https://www.youtube.com/watch?v=vbDFJSdusAA&ab_channel=ComputerScience)
342 | 13. [Opencv Projects](https://www.murtazahassan.com/courses/opencv-projects/)
343 | 14. [Machine Learning project : Cricket Score prediction using Python ](https://www.youtube.com/watch?v=myoe54ZGIa4&ab_channel=AKPython)
344 | 15. [Deep Learning for Air Quality Prediction](https://medium.com/analytics-vidhya/deep-learning-for-air-quality-prediction-b451e2936290)
345 | 16. [Machine Learning Projects | using python | with code | for college students](https://www.youtube.com/watch?v=MIgg4aiNo4Q&feature=youtu.be&fbclid=IwAR0Mbswz_rsJp3ulwwHO0vC7DI97-9YezY9rZ0wFRts14tUVfrV3ojcL9Eo)
346 | 17. [Text Classification Using Convolutional Neural Networks](https://www.youtube.com/watch?v=8YsZXTpFRO0)
347 | 18. [project-based-learning](https://github.com/tuvtran/project-based-learning#python)
348 | 20. [Best-of Machine Learning with Python](https://github.com/ml-tooling/best-of-ml-python?fbclid=IwAR2MLkXOEzDCwUe0wu5oMyjkQNPtgu5YXB5CDpyy1OnJkUgbismV1oPbsrY)
349 | 21. [Face-Mask-Detection-Using-Google-Colab](https://github.com/kvnptl/Face-Mask-Detection-Using-Google-Colab)
350 | 22. [Face Mask Detection using Python, Keras, OpenCV and MobileNet | Detect masks real-time video streams](https://www.youtube.com/watch?v=Ax6P93r32KU)
351 | 23. [Monk_Object_Detection](https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo?fbclid=IwAR28SZ6iTsr4VnL1oXoylQJjt7Xls2D1lKN4FPNHNOiEGapiKT7vJtTuQig)
352 | 24. [Deep Learning-based Real-time Video Processing](https://www.kdnuggets.com/2021/02/deep-learning-based-real-time-video-processing.html?fbclid=IwAR0cTUjwu948i-1Djr-hyBiopQz4t-zn0tqUQrBi8ermBXC32n6qsnMrg0s)
353 | 25. [Murtaza's Workshop - Robotics and AI](https://www.youtube.com/channel/UCYUjYU5FveRAscQ8V21w81A)
354 | 26. [Rainfall Prediction with Machine Learning](https://thecleverprogrammer.com/2020/09/11/rainfall-prediction-with-machine-learning/?fbclid=IwAR17nR_D7TVMMw1gCjAjcUOQfH-3eqVWM4vH9ISzjBrP3f2uqezsSu_uAoc)
355 | 27. [Fruits Classification using Deep Learning](https://medium.com/ai-techsystems/fruits-classification-using-deep-learning-f8261b0ee0ca)
356 | 28. [Face Recognition Attendance GUI PyQt - 1 Hour Course | 2021](https://www.youtube.com/watch?v=oP3MQyO-wwc)
357 | 29. [Machine Learning Projects on Social Media Analysis](https://medium.com/coders-camp/5-machine-learning-projects-on-social-media-analysis-d70b90839ab9)
358 | 30. [10 Best Data Science Projects to Get Hired and You Must Know in 2021](https://www.mltut.com/best-data-science-projects-to-get-hired/?fbclid=IwAR3e4Nr1CWc-ndh2uqxACkVHD2DlE6bVLC67yATyg3VxLo2uA5_t1M6G9e0)
359 | 31. [Build a chatbot from scratch - Ultimate Chatbot Tutorial](https://www.youtube.com/watch?v=6GLFcm7dGiY&feature=youtu.be&fbclid=IwAR2gxGHuZ7_ushvUuMgYwsL9xJjcOlIWKVmcOGuWlqChylcd5CcSgOE5wc4)
360 | 32. [Wine Recommender System Using Principal Component Analysis- Python](https://www.mltut.com/wine-recommender-system-using-principal-component-analysis/?fbclid=IwAR2l9ehJZppzjG_kBlKRLRqAdUibGHBWJTFwwryo-qxWp_vofcTWLUJeHYE)
361 | 33. [Deep Learning Algorithms For Solving Advanced Mathematical Problems](https://medium.com/towards-artificial-intelligence/deep-learning-algorithms-for-solving-advanced-mathematical-problems-719467a394e8)
362 | 34. [Video to Text Description Using Deep Learning and Transformers | COOT](https://www.youtube.com/watch?v=5TRp5SuEtoY)
363 | 35. [Forecasting the power generated by a solar plant using Neural Designer](https://www.neuraldesigner.com/learning/examples/solar-power-generation)
364 | 36. [https://www.neuraldesigner.com/learning/examples/solar-power-generation](https://www.neuraldesigner.com/learning/examples/activity-recognition)
365 | 37. [8 Neural Networks Projects Solved and Explained](https://medium.com/datadriveninvestor/8-neural-networks-projects-solved-and-explained-a4f142bc10c)
366 | 38. [Hierarchical Human Activity Recognition using Deep Learning](https://kk7nc.medium.com/hierarchical-human-activity-recognition-using-deep-learning-5e965fecb499)
367 | 39. [4 Recommendation System Projects with Python](https://medium.com/coders-camp/4-recommendation-system-projects-with-python-5934de32ba7d)
368 | 40. [Machine Learning Project on Hand Gesture Recognition Model](https://thecleverprogrammer.com/2020/11/20/hand-gesture-recognition-with-python/?fbclid=IwAR1XwLC9XguICMBLdFqvryOfmOdKm4CPGSVjxuET7QwQEoBkxI0AiEimLU0)
369 | 41. [6 Sentiment Analysis Projects with Python](https://amankharwal.medium.com/6-sentiment-analysis-projects-with-python-1fdd3d43d90f)
370 | 42. [Build and deploy data science products: Machine translation application -Build and deploy using Flask](https://bayesianquest.com/2020/10/24/viii-build-and-deploy-data-science-products-machine-translation-application-build-and-deploy-using-flask/?fbclid=IwAR2bsR2nGhTl4v8U1ETRamFCNGjLaJKgQ_6L5sqz3rHa6egf9JCXv3HkCUA)
371 | 43. [How I Built and Deployed a Fun Serverless Machine Learning App](https://towardsdatascience.com/building-and-deploying-cartoonify-b4786b382d7e)
372 | 44. [Build and deploy data science products: Machine translation application -Build and deploy using Flask](https://bayesianquest.com/2020/10/24/viii-build-and-deploy-data-science-products-machine-translation-application-build-and-deploy-using-flask/)
373 | 45. [Face Mask Detection with Machine Learning](https://thecleverprogrammer.com/2020/11/17/face-mask-detection-with-machine-learning/)
374 | 46. [20 Machine Learning Projects on Future Prediction with Python](https://amankharwal.medium.com/20-machine-learning-projects-on-future-prediction-with-python-93932d9a7f7f)
375 | 47. [Build and Deploy Data Science Products : A Practical Guide to Building a Machine Translation Application.](https://bayesianquest.com/2020/10/24/build-your-machine-translation-application-byte-by-byte/)
376 | 48. [Data Science Project on Youtube Trending Videos Analysis with Python](https://thecleverprogrammer.com/2020/11/28/youtube-trending-videos-analysis-with-python/?fbclid=IwAR06m4Ab_j0QelEaD56QtCDPHC2m3l4hEr72xgj90cMH0U4YN0ovKpwCyjs)
377 | 49. [10 Machine Learning Projects on Time Series Forecasting](https://amankharwal.medium.com/10-machine-learning-projects-on-time-series-forecasting-ee0368420ccd)
378 | 50. [500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code](https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code?fbclid=IwAR0VFY0oGMExA-zEvUxsFENK2F2sYbfn5NvPhKriB66lYd-fP4cN8lM-6rI)
379 | 51. [Real-Time Sentiment Analysis](https://thecleverprogrammer.com/2021/03/09/real-time-sentiment-analysis-using-python/)
380 | 52. [215+ Machine Learning Projects Solved and Explained](https://medium.com/coders-camp/215-machine-learning-projects-solved-and-explained-7bd6fd478897)
381 | 53. [Part 1-EDA-Audio Classification Project Using Deep Learning](https://www.youtube.com/watch?v=mHPpCXqQd7Y)
382 | 54. [Top 7 beginner projects in Machine Learning](https://iaviral.medium.com/top-7-beginner-projects-in-machine-learning-e66428ad6311)
383 | 55. [Build a Personal AI Trainer| OpenCV Python 2021 | Computer Vision](https://www.youtube.com/watch?v=5kaX3ta398w&ab_channel=Murtaza%27sWorkshop-RoboticsandAI)
384 | 56. [Data Science Real-World Use Cases ](https://www.udemy.com/course/data-science-real-world-use-cases-hands-on-python/learn/lecture/25430358#overview)
385 | 57. [Smart Attendance Management System Based On Face Recognition](https://www.youtube.com/watch?v=BECN0Cn7UAc&t=513s&ab_channel=PrabhatAle)
386 | 58. [Python Project Development](https://www.youtube.com/playlist?list=PLsT53VV2LIIFMeibhkk8C3YA9_EuuhF0R)
387 | 59. [AI Virtual Mouse | OpenCV Python | Computer Vision](https://www.youtube.com/watch?v=8gPONnGIPgw&ab_channel=Murtaza%27sWorkshop-RoboticsandAI)
388 | 60. [Face Recognition Authentication in Flutter using TensorFlow & Firebase ML](https://morioh.com/p/2e28055a9e86?f=5c224490c513a556c9042463&fbclid=IwAR216L51ZnQg4Q8BFOKzZDnhxO6tg_eQNbeI4BwIxnGfB5Yhy_EWChwSFdQ)
389 | 61. [Fake News Detection using LSTM in Tensorflow and Python](https://www.youtube.com/watch?v=eLjs52-gsJQ&ab_channel=KGPTalkie)
390 | 62. [Emotion Detection of Text Using Machine Learning and Python](https://www.youtube.com/watch?v=t1TkAcSDsI8&ab_channel=JCharisTech%26J-Secur1ty)
391 | 63. [Face Recognition Authentication in Flutter using TensorFlow & Firebase ML](https://morioh.com/p/2e28055a9e86f=5c224490c513a556c9042463&fbclid=IwAR2Sm1LPck7MNCtlWEWroDkLgqeG2RV3IRLv3-1OgnNzvLsLgxrU8bUTVRU)
392 | 64. [Machine learning project| | Student exam mark prediction using python|](https://www.youtube.com/watch?v=lN8AsMRiKP4&ab_channel=AKPython)
393 | 65. [Machine Learning Projects for Beginners|](https://thecleverprogrammer.com/2020/11/15/machine-learning-projects/)
394 | 66. [I tried building a Computer Vision Game in 12 Hours](https://www.youtube.com/watch?v=i_UiTIr4jTk&ab_channel=Murtaza%27sWorkshop-RoboticsandAI)
395 | 67. [predict a news headline|](https://github.com/lukefeilberg/onion/blob/master/Onion.ipynb)
396 | 68. [DS_and_ML_projects](https://github.com/hhhrrrttt222111/DS_and_ML_projects)
397 | 69. [Movies Review Sentiment Analysis in NLP](https://datascience2000.blogspot.com/2021/05/movies-review-sentiment-analysis-in-nlp.html?m=1&fbclid=IwAR1TOe-l8ZfkpyB791XZ2s_XABW1oLdo-vs1Iu8yEY5nuFWXE84PaGE13Qo)
398 | 70. [Machine Learning Tutorial with Turi Create and Python (Diabetes Risk Prediction)](https://www.youtube.com/watch?v=OSNvlK0HSdM&ab_channel=JCharisTech%26J-Secur1ty)
399 | 71. [230+ Machine Learning Projects with Python](https://medium.com/coders-camp/230-machine-learning-projects-with-python-5d0c7abf8265)
400 | 72. [Machine Learning Project : Weather prediction using Python ( Naïve Bayes )](https://www.youtube.com/watch?v=Gurfcd0i9jg)
401 | 73. [End-to-End Machine Learning Projects with Source Code](https://medium.com/coders-camp/end-to-end-machine-learning-projects-with-source-code-c727119800de)
402 | 74. [Build a Grammar Correction Python App with Gramformer and Gradio](https://www.youtube.com/watch?v=4htP-hmIBvc&ab_channel=NicholasRenotte)
403 | 75. [240+ Machine Learning Projects with Python](https://medium.com/coders-camp/230-machine-learning-projects-with-python-5d0c7abf8265)
404 | 76. [AI Virtual Mouse | OpenCV Python | Computer Vision](https://www.youtube.com/watch?v=8gPONnGIPgw&ab_channel=Murtaza%27sWorkshop-RoboticsandAI)
405 | 77. [Computer Vision Notebooks:](https://www.qblocks.cloud/creators/computer-vision-google-colab-notebooks)
406 | 78. [Predicting Football Results With the Poisson Distribution](http://www.pena.lt/y/2021/06/18/predicting-football-results-using-the-poisson-distribution/)
407 | 79. [End-to-End Machine Learning Projects](https://medium.com/coders-camp/end-to-end-machine-learning-projects-with-source-code-c727119800de)
408 | 80. [250+ Machine Learning Projects with Python](https://medium.com/coders-camp/230-machine-learning-projects-with-python-5d0c7abf8265)
409 | 81. [End-to-End Machine Learning Projects with Source Code](https://medium.com/coders-camp/end-to-end-machine-learning-projects-with-source-code-c727119800de?fbclid=IwAR3mlQYGQnz3IgsFtn_u3_dWCh0NoNmxKoSFqNJMnlb2soGCQyO8LflrB7k)
410 | 82. [7 BEST ARTIFICIAL INTELLIGENCE PROJECT IDEAS FOR BEGINNERS](https://www.analyticsinsight.net/7-best-artificial-intelligence-project-ideas-for-beginners/)
411 | 83. [255+ Machine Learning Projects with Python](https://medium.com/coders-camp/230-machine-learning-projects-with-python-5d0c7abf8265)
412 | 84. [8 Deep Learning Project Ideas for Beginners](https://www.kdnuggets.com/2021/09/8-deep-learning-project-ideas-beginners.html?fbclid=IwAR1WN-9tnaogLDrxtKy6FkSwo_R5gOB8Akomoqb1GbDZuPD-JATUu5wAQx4)
413 | 85. [Skin Cancer Detection Using CNN](https://medium.com/ai-techsystems/skin-cancer-detection-using-cnn-7ba3ca8d3dc3)
414 | 86. [Create Music Recommendation System Using Python](https://towardsdatascience.com/create-music-recommendation-system-using-python-ce5401317159)
415 | 87. [Credit Card Fraud Detection With Machine Learning in Python](https://medium.com/codex/credit-card-fraud-detection-with-machine-learning-in-python-ac7281991d87)
416 | 88. [Credit Card Fraud Detection With Machine Learning in Python](https://medium.com/codex/credit-card-fraud-detection-with-machine-learning-in-python-ac7281991d87)
417 | 89. [Fake News Classifier using Bidirectional LSTM](https://medium.com/ai-techsystems/fake-news-classifier-using-bidirectional-lstm-cebef77b0adc)
418 | 90. [YouTube Recommendation System – Machine Learning Project with Source Code](https://data-flair.training/blogs/youtube-video-recommendation-system-ml/?fbclid=IwAR212Q8yIGnPPRUwLzbVfdB1nYBuarjwua5ijv_WqS0h91Zm0M1YxEdRxYo)
419 | 91. [15 Amazing Deep Learning Project Ideas to Boost Your Resume](https://medium.com/projectpro/15-amazing-deep-learning-project-ideas-to-boost-your-resume-28782ed1d62f)
420 | 92. [Automate WhatsApp Messages with Python Instantly!](https://levelup.gitconnected.com/automate-whatsapp-messages-with-python-instantly-3e08d6600612)
421 | 93. [10 Best Machine Learning Projects with datasets](https://medium.com/@letthedataconfess/10-best-machine-learning-projects-with-datasets-6184839c9100)
422 | 94. [10 Time Series Projects with datasets](https://www.letthedataconfess.com/blog/2021/10/09/10-best-time-series-projects-to-practice-along-with-datasets/)
423 | 95. [ml_stress_detection](https://github.com/janprince/ml_stress_detection)
424 |
425 |
426 | 8. **Important Website For Projects**
427 | 1. [dataspoof](https://www.dataspoof.info/)
428 | 2. [blobcity](https://cloud.blobcity.com/code/explore#/ps/explore)
429 | 3. [data-flair.training](https://data-flair.training/blogs/youtube-video-recommendation-system-ml/?fbclid=IwAR212Q8yIGnPPRUwLzbVfdB1nYBuarjwua5ijv_WqS0h91Zm0M1YxEdRxYo)
430 | 4. [ai-techsystems](https://medium.com/ai-techsystems/whale-detection-using-aerial-images-b535ea3cc932)
431 | 5. [Data Science Tutorial](https://www.datascience2000.in/)
432 | 6. [Data Science Tutorial](https://datascience2000.blogspot.com/)
433 | 7. [Top 10 most promising AI ](https://www.immuniweb.com/blog/top-AI-research-projects-2021.html?fbclid=IwAR1B9oXnqVLlZLtUc8323REWkHotLLtMRr18z50odhLqOealtY3Awr1TJXU)
434 | 8. [Graph Algorithms](https://github.com/hussain0048/Machine-Learning/tree/master/Sklearn/Graph%20Algorithms)
435 | 9. [Murtaza's Workshop - Robotics and AI](https://www.youtube.com/channel/UCYUjYU5FveRAscQ8V21w81A)
436 | 10. [projectsbasedlearning](https://projectsbasedlearning.com/)
437 | 11. [laconicml](https://laconicml.com/category/computer-vision/)
438 | 12. [Machine Learning Hub](https://www.youtube.com/c/MachineLearningHub)
439 | 13. [techprofree](http://www.techprofree.com/category/projects/?fbclid=IwAR1OqTkkmEr26r-aiXqVc4m30WWiHBx2Uilxia5NII3nxu_S1ScDUCPZkro)
440 | 14. [Mathematics behind Data Science](https://www.youtube.com/watch?v=iq1pqWaXgOw&list=PLKR38d5oOkckjyQFQLjYumMJSgRCEpKeK)
441 | 15. [Machine Learning Projects](https://github.com/aswintechguy/Machine-Learning-Projects)
442 | 16. [7 Computer Vision Projects for All Levels](https://www.kdnuggets.com/7-computer-vision-projects-for-all-levels)
443 |
444 | details>
445 |
446 |
447 |
448 |
449 | ## 💻 Workflow for Contributions:
450 |
451 | 1-**Students Fork the Repository**
452 |
453 | - Each student forks your GitHub repo to their account.
454 | - They work on their portion in their own forked repo.
455 |
456 | 2- **Students Create Feature Branches**
457 |
458 | - Instead of working directly on main, they create a feature branch
459 |
460 | 3- **SCommit & Push Changes**S
461 |
462 | - Students make changes, commit them, and push to their branch
463 |
464 | 4- **Submit Pull Requests (PRs)**
465 |
466 | - Once they complete their portion, they submit a Pull Request (PR) to your main repository.
467 | - As the project owner, you review their PRs and merge them after approval.
468 |
469 | ## ⚙️ **Tracking Student Contributions**
470 |
471 | - Use GitHub Issues: Assign tasks to students using GitHub issues.
472 | - Use Project Boards: GitHub Projects can help track progress.
473 | - Use Pull Request Reviews: To ensure code quality before merging.
474 | - Set Milestones: Define deadlines for each task.
475 |
476 | ## ⚙ **Finalizing the Project**
477 | Once all contributions are merged:
478 | - Conduct a final review and clean up unnecessary files.
479 |
480 | Generate a final report including
481 | - Contributions by each student.
482 | - A working demo.
483 | - Documentation for future users.
484 |
485 | ## **✨Top Contributors**
486 | We would love your help in making this repository even better! If you know of an amazing AI course that isn't listed here, or if you have any suggestions for improvement in any course content, feel free to open an issue or submit a course contribution request.
487 |
488 | Together, let's make this the best AI learning hub website! 🚀
489 |
490 | Thanks goes to these Wonderful People. Contributions of any kind are welcome!🚀
491 |
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