├── 13_Transport_Traffic_System └── README.md ├── 12Pharmacy_PersonalizedMedicineDeliverySystem └── README.md ├── 14_Public_Health_Warning_Systems └── README.md ├── 15_Education_Tech_Learning_Platform_Disabilities └── README.md ├── 17_IoT_Based_Energy_Monitoring_for_Marine_Vessels └── README.md ├── 19_Precision_Irrigation_Systems └── README.md ├── 11Agri_SustainableCropRotations └── README.md ├── 20_Pest_and_Disease_Detection_in_Crops └── README.md ├── 18_Ballast_Water_Management └── README.md ├── 16_Hybrid_Propulsion_Systems └── README.md ├── 01EcoScan └── README.md ├── 08ExpenseTracker └── README.md ├── 02SoundScape └── README.md ├── 03GestureFlow └── README.md ├── 06SafeDrive └── README.md ├── 04NutriAI └── README.md ├── 05EmotiMap └── README.md ├── 10DevsType └── README.md ├── 07AgriVision └── README.md ├── 09RecipeDrive └── README.md ├── 21TrafficAI └── README.md └── README.md /13_Transport_Traffic_System/README.md: -------------------------------------------------------------------------------- 1 | ## 13. Domain: Transportation Engineering 2 | ### Title: Smart Traffic Management Systems for Reducing Urban Congestion 3 | 4 | ### Background: 5 | Urban areas worldwide face increasing traffic congestion, leading to economic losses, increased pollution, and reduced quality of life for residents. 6 | 7 | ### Importance: 8 | Implementing smart traffic management systems can optimize traffic flow, reduce travel times, and decrease vehicle emissions, ultimately improving urban livability and sustainability. 9 | 10 | ### Challenges: 11 | - Integrating various data sources (traffic cameras, sensors, GPS) to create real-time traffic models 12 | - Developing algorithms that can adapt to changing traffic patterns and unexpected events 13 | - Ensuring data privacy and security while collecting and analyzing traffic information 14 | -------------------------------------------------------------------------------- /12Pharmacy_PersonalizedMedicineDeliverySystem/README.md: -------------------------------------------------------------------------------- 1 | ## 12. Domain: Pharmacy 2 | ### Title: Personalized Medicine Delivery Systems for Chronic Diseases 3 | 4 | ### Background: 5 | Patients with chronic diseases often require long-term medication regimens, which can be complex and difficult to manage. Adherence to these regimens is crucial for effective treatment. 6 | 7 | ### Importance: 8 | Developing personalized medicine delivery systems can improve patient compliance, reduce side effects, and enhance treatment outcomes for chronic diseases such as diabetes, hypertension, and arthritis. 9 | 10 | ### Challenges: 11 | - Creating drug delivery systems that can be tailored to individual patient needs and metabolism 12 | - Ensuring the stability and efficacy of medications in novel delivery formats 13 | - Integrating smart technologies for monitoring and adjusting dosages in real-time 14 | -------------------------------------------------------------------------------- /14_Public_Health_Warning_Systems/README.md: -------------------------------------------------------------------------------- 1 | ## 14. Domain: Public Health 2 | ### Title: Community-Based Early Warning Systems for Infectious Disease Outbreaks 3 | 4 | ### Background: 5 | Early detection of infectious disease outbreaks is crucial for effective containment and management, particularly in underserved or remote areas with limited healthcare infrastructure. 6 | 7 | ### Importance: 8 | Creating community-based early warning systems can help identify potential outbreaks quickly, enabling faster response times and reducing the spread of diseases in vulnerable populations. 9 | 10 | ### Challenges: 11 | - Developing simple, reliable detection methods that can be used by community health workers 12 | - Creating effective communication networks to relay information to health authorities 13 | - Balancing sensitivity and specificity to minimize false alarms while ensuring early detection 14 | -------------------------------------------------------------------------------- /15_Education_Tech_Learning_Platform_Disabilities/README.md: -------------------------------------------------------------------------------- 1 | ## 15. Domain: Education Technology 2 | ### Title: Adaptive Learning Platforms for Students with Learning Disabilities 3 | 4 | ## Background: 5 | Students with learning disabilities often struggle in traditional educational settings, leading to academic underachievement and reduced opportunities. 6 | 7 | ## Importance: 8 | Developing adaptive learning platforms tailored for students with learning disabilities can improve educational outcomes, boost self-confidence, and provide more inclusive learning environments. 9 | 10 | ## Challenges: 11 | - Creating algorithms that can accurately assess individual learning needs and adapt content accordingly 12 | - Designing interfaces that are accessible and engaging for students with various learning disabilities 13 | - Integrating these platforms into existing educational systems and curricula 14 | -------------------------------------------------------------------------------- /17_IoT_Based_Energy_Monitoring_for_Marine_Vessels/README.md: -------------------------------------------------------------------------------- 1 | ## 17. Domain: Marine Engineering 2 | ### Title: IoT-Based Energy Monitoring for Marine Vessels 3 | 4 | ## Background: 5 | Energy efficiency is a critical concern for marine vessels, which are energy-intensive. Real-time IoT-based energy monitoring systems can optimize fuel use and reduce energy waste, promoting both economic and environmental sustainability. 6 | 7 | ## Importance: 8 | IoT-enabled energy monitoring systems provide real-time insights that help ship operators make informed decisions, enhance operational efficiency, and ensure compliance with international emissions standards. 9 | 10 | ## Challenges: 11 | - Implementing IoT systems in environments with limited connectivity at sea 12 | - Securing the data transmission process across large oceanic distances 13 | - Developing user-friendly interfaces that provide actionable, real-time energy data to ship operators 14 | -------------------------------------------------------------------------------- /19_Precision_Irrigation_Systems/README.md: -------------------------------------------------------------------------------- 1 | ## 19. Domain: Agriculture 2 | ### Title: IoT-Based Precision Irrigation Systems 3 | 4 | ## Background: 5 | Water scarcity is a major issue in agriculture, and traditional irrigation practices often result in inefficient water usage. IoT-based precision irrigation systems use real-time data to optimize water delivery, ensuring crops receive the exact amount of water needed without waste. 6 | 7 | ## Importance: 8 | Precision irrigation can significantly reduce water waste, improve crop yields, and promote sustainability in farming. This solution enables farmers to adapt to changing environmental conditions and make informed decisions about water management. 9 | 10 | ## Challenges: 11 | - Making IoT systems affordable and scalable for small-scale farmers 12 | - Ensuring the accuracy and reliability of sensor data in varied environmental conditions 13 | - Overcoming connectivity issues in rural farming areas 14 | -------------------------------------------------------------------------------- /11Agri_SustainableCropRotations/README.md: -------------------------------------------------------------------------------- 1 | ## 11. Domain: Agriculture 2 | ### Title: Sustainable Crop Rotation Systems for Small-Scale Farmers 3 | 4 | ### Background: 5 | Small-scale farmers often struggle with maintaining soil fertility and crop yields due to limited land and resources. Traditional farming practices can lead to soil degradation and reduced productivity over time. 6 | 7 | ### Importance: 8 | Developing sustainable crop rotation systems tailored for small-scale farmers can improve soil health, increase crop diversity, and enhance food security for local communities. This approach can also reduce reliance on chemical fertilizers and pesticides. 9 | 10 | ### Challenges: 11 | - Designing rotation systems that balance soil nutrient requirements, market demands, and farmers' economic needs 12 | - Educating farmers on the benefits and implementation of crop rotation techniques 13 | - Adapting rotation systems to various climatic conditions and soil types 14 | -------------------------------------------------------------------------------- /20_Pest_and_Disease_Detection_in_Crops/README.md: -------------------------------------------------------------------------------- 1 | ## 20. Domain: Agriculture 2 | ### Title: IoT-Enabled Pest and Disease Detection in Crops 3 | 4 | ## Background: 5 | Pests and crop diseases can cause devastating losses for farmers, often spreading before they are detected. IoT-based systems can monitor crops in real-time, using sensors and AI to identify early signs of infestation or disease, enabling timely interventions. 6 | 7 | ## Importance: 8 | Early detection reduces the need for chemical pesticides, minimizes crop losses, and leads to healthier produce. This contributes to more sustainable agricultural practices while improving farmers' profitability and food security. 9 | 10 | ## Challenges: 11 | - Creating accurate systems that detect a wide range of pests and diseases 12 | - Integrating AI-driven analysis for real-time disease and pest prediction 13 | - Ensuring the affordability and ease of use for farmers with limited technical knowledge 14 | -------------------------------------------------------------------------------- /18_Ballast_Water_Management/README.md: -------------------------------------------------------------------------------- 1 | ## 18. Domain: Marine Engineering 2 | ### Title: IoT-Enabled Ballast Water Management for Pollution Control 3 | 4 | ## Background: 5 | Ballast water discharge is a significant environmental challenge in marine transportation, as it can introduce invasive species into new ecosystems. IoT-enabled systems allow for real-time monitoring and control of ballast water treatment, reducing environmental damage and preserving marine biodiversity. 6 | 7 | ## Importance: 8 | By using IoT for ballast water management, shipping companies can better comply with environmental regulations, minimize pollution, and prevent the spread of invasive aquatic species, contributing to the health of global marine ecosystems. 9 | 10 | ## Challenges: 11 | - Ensuring IoT systems are reliable in the harsh marine environment 12 | - Developing IoT solutions that are compatible with diverse ballast water treatment technologies 13 | - Managing large volumes of sensor data effectively to provide real-time insights 14 | -------------------------------------------------------------------------------- /16_Hybrid_Propulsion_Systems/README.md: -------------------------------------------------------------------------------- 1 | ## 16. Domain: Marine Engineering 2 | ### Title: Sustainable Energy Solutions for Marine Vessels - Hybrid Propulsion Systems 3 | ## Background: 4 | Marine vessels are major contributors to global carbon emissions, with traditional diesel engines being a significant source of pollution. Hybrid propulsion systems, which combine conventional engines with alternative energy sources such as batteries or renewable energy, offer a solution to reduce the environmental impact of marine transport. 5 | ## Importance: 6 | Implementing hybrid propulsion systems can lower fuel consumption, reduce greenhouse gas emissions, and contribute to cleaner, more energy-efficient marine operations. This aligns with international goals for sustainable shipping and reducing maritime carbon footprints. 7 | ## Challenges: 8 | - Developing efficient and scalable hybrid propulsion systems that can handle the energy demands of large marine vessels 9 | - Ensuring the reliability and safety of these systems in harsh marine environments 10 | - Addressing the high initial investment costs for retrofitting existing vessels or building new hybrid ships 11 | -------------------------------------------------------------------------------- /01EcoScan/README.md: -------------------------------------------------------------------------------- 1 | ## 1. EcoScan 2 | ### Background 3 | Recycling is essential for environmental sustainability, but many individuals face challenges in correctly sorting their waste due to the complex and often region-specific recycling rules. Incorrect sorting can lead to contamination of recyclable materials, reducing the effectiveness of recycling efforts and increasing landfill waste. A key barrier to better recycling habits is the difficulty in identifying what materials are recyclable and how to properly dispose of them. 4 | 5 | ### Importance 6 | Improving recycling practices can significantly reduce landfill waste, conserve natural resources, and lower the energy costs associated with producing new materials. An AI-powered tool that accurately identifies recyclable materials can empower individuals to make informed choices, leading to more effective recycling efforts and greater environmental impact. 7 | 8 | ### Problem Statement 9 | **Input:** The user will capture or upload an image or video of a wastage item. 10 | **Output:** The system will separate each item as: 11 | 1. **Recyclable** 12 | 2. **Non-recyclable** 13 | 3. **Requires special disposal** 14 | 15 | Additionally, the application should provide localized information about how to dispose of the item based on regional recycling guidelines. 16 | 17 | The model should: 18 | - Aim for a nominal accuracy rate (e.g., 60% or above) in distinguishing items. 19 | - Robust to new and unseen items. 20 | - Integrate seamlessly into a mobile or web application with a user-friendly interface. 21 | 22 | The app should also: 23 | - Offer a clear breakdown of items within the image or video (if multiple are present). 24 | - Display actionable information based on the user’s location, such as specific instructions for recycling in their region. 25 | 26 | ### Challenge 27 | The model must handle diverse image inputs, varying lighting conditions, and different item orientations while maintaining high classification accuracy. 28 | -------------------------------------------------------------------------------- /08ExpenseTracker/README.md: -------------------------------------------------------------------------------- 1 | ## 8. ExpenseTracker 2 | ### Background 3 | 4 | Managing personal finances effectively requires a clear understanding of spending habits and financial health. An expense tracking application helps users log and categorize their expenses, providing insights into their spending patterns. This enables better budgeting and financial planning. 5 | 6 | ### Importance 7 | 8 | An expense tracking app offers users a way to monitor their financial health by tracking expenditures and income. By visualizing spending trends through charts and graphs, users can make informed decisions about their budget and spending habits. The ability to track and categorize transactions helps users identify areas where they can save money and improve their financial management. 9 | 10 | ### Problem Statement 11 | 12 | Many individuals struggle with managing their finances due to a lack of clear and organized tools for tracking expenses and income. Existing solutions may lack comprehensive reporting features, visual representations of spending and income, or the ability to download transaction data. There is a need for an expense tracking app that provides detailed insights into financial habits, offers visual representations, and supports downloading data for further analysis. 13 | 14 | ### Challenges 15 | 16 | 1. **User Interface Design:** Creating a user-friendly and visually appealing interface that makes it easy for users to log, categorize, and view their expenses and income. 17 | 2. **Expense and Income Tracking:** Implementing features to add, categorize, and track both expenses and income effectively. 18 | 3. **Visual Representation:** Developing charts and graphs to visually represent spending trends and financial health, providing users with clear insights into their finances. 19 | 4. **Reporting:** Providing tools for generating detailed reports on spending and income to help users analyze their financial data. 20 | 5. **Data Management:** Ensuring that users can download their transaction data and reports for offline analysis and record-keeping. 21 | 22 | By addressing these challenges, the expense tracking app can offer a comprehensive solution for users to manage their finances, gain insights into their spending habits, and make informed budgeting decisions. 23 | -------------------------------------------------------------------------------- /02SoundScape/README.md: -------------------------------------------------------------------------------- 1 | ## 2. SoundScape 2 | 3 | ### Background 4 | In music production and remixing, separating individual instruments from a complete audio track is often necessary but challenging. Current separation techniques frequently introduce artifacts or incomplete isolation, making it difficult for musicians and producers to work with clean, isolated tracks. A tool that can separate instruments accurately would provide more control over audio tracks, enabling a wider range of creative possibilities for remixing, producing, and analyzing music. 5 | 6 | ### Importance 7 | A precise instrument separation tool could significantly enhance the flexibility and creative potential for musicians, producers, and sound engineers. It could enable them to isolate, manipulate, and remix sounds without compromising the quality of the original track. This would revolutionize the remixing process, aid in music education, and offer new ways for musicians to interact with their creations. 8 | 9 | ### Problem Statement 10 | **Input:** The user uploads a mixed audio file. 11 | **Output:** The system separates the audio into distinct tracks, including: 12 | 1. **Vocals** (must always be separated) 13 | 2. **Instruments** (the system should support separation of multiple instruments, such as guitar, drums, bass, piano, or others, depending on the track) 14 | 15 | The separated tracks should be accessible in a web application that allows users to: 16 | 1. Visualize the different audio tracks. 17 | 2. Adjust the volume or mute individual tracks (both vocals and instruments) in real-time. 18 | 3. Export individual tracks or custom mixes. 19 | 20 | The model should: 21 | - Always separate vocals from the instrument tracks. 22 | - Be capable of separating a variable number of instruments, depending on the complexity of the input. 23 | - Minimize audio artefacts and reduce "bleeding" between the tracks for clear separation. 24 | - Ensure high-quality audio output for both vocals and instruments. 25 | 26 | ### Challenge 27 | The model must handle a wide variety of audio files with different instruments, varying complexities, and overlapping frequencies. The web application should be responsive, allowing users to adjust the audio tracks in real-time without noticeable delays or quality degradation. 28 | -------------------------------------------------------------------------------- /03GestureFlow/README.md: -------------------------------------------------------------------------------- 1 | ## 3. GestureFlow 2 | 3 | ### Background 4 | Traditional input devices like keyboards and mice are not always practical or accessible, particularly for individuals with mobility impairments or in environments where hands-free interaction is required. While voice control offers an alternative, it is limited in noisy environments or situations where vocal commands are inconvenient. Gesture-based interaction provides a promising solution by allowing users to control devices through natural hand movements, making it especially valuable in sectors like healthcare, industry, and accessibility. 5 | 6 | ### Importance 7 | Gesture recognition technology can greatly enhance accessibility, enabling users with disabilities to interact with computers without traditional input devices. It is also valuable in sterile environments, such as operating rooms, or industrial settings where hands are occupied. By providing a hands-free, intuitive way to control devices, gesture-based systems can improve efficiency and enable new forms of human-computer interaction. 8 | 9 | ### Problem Statement 10 | **Input:** The user interacts with a webcam or external camera, performing hand gestures. 11 | **Output:** The system recognizes predefined hand gestures and translates them into computer actions, such as: 12 | 1. **Click** 13 | 2. **Scroll** 14 | 3. **Navigate** 15 | 4. **... etc** 16 | 17 | The application should allow users to: 18 | 1. Customize gesture-to-action mappings. 19 | 2. Train the system to recognize new, user-defined gestures. 20 | 3. Adjust gesture recognition sensitivity and define activation zones on the screen for more accurate control. 21 | 22 | The model should: 23 | - Recognize at least 5 predefined gestures with optimum accuracy. 24 | - Adapt to different lighting conditions and various hand positions. 25 | - Perform with low latency to ensure smooth, real-time interaction. 26 | 27 | ### Challenge 28 | The gesture recognition model must be robust against environmental changes, such as varying lighting or backgrounds, and accurately distinguish between different hand movements. The desktop application should be responsive and provide a simple interface for gesture customization, allowing users to personalize the system based on their needs and preferences. 29 | 30 | -------------------------------------------------------------------------------- /06SafeDrive/README.md: -------------------------------------------------------------------------------- 1 | ## 6. SafeDrive 2 | 3 | ### Background 4 | Road accidents are a leading cause of injury and death globally. While vehicle safety systems can monitor some aspects of driving, integrating data from multiple sources, including video feeds and sensor data, for real-time accident detection is still a challenge. Detecting accidents accurately and promptly can significantly enhance emergency response and potentially save lives. 5 | 6 | ### Importance 7 | An advanced system that can analyze real-time video and image data to detect road accidents can improve emergency response times and offer valuable insights into accident causation. By providing immediate alerts to first responders and automating accident detection, such a system can contribute to enhanced road safety and more effective emergency management. 8 | 9 | ### Problem Statement 10 | **Input:** The system analyzes: 11 | - **Video**: Captured from cameras or roadside surveillance, providing real-time visual information of the traffic environment. 12 | - **Images**: Static snapshots from the video feed or additional sources that offer detailed views of accident scenes. 13 | 14 | **Output:** The system provides: 15 | 1. **Accident detection**: Determines whether an accident has occurred based on the visual data, indicating the presence of a collision or sudden impact. 16 | 2. **Incident alerts**: Sends real-time notifications to emergency services or relevant stakeholders if an accident is detected. 17 | 18 | The model should: 19 | - **Accurately detect accidents**: Achieve high precision in identifying collision events, reducing false positives and negatives. 20 | - **Process video and image data**: Operate effectively with real-time video streams and image data to detect accidents promptly. 21 | - **Provide real-time feedback**: Ensure minimal latency in detecting accidents and alerting emergency responders. 22 | 23 | ### Challenge 24 | The system must handle varying visual conditions, including different weather scenarios, lighting, and road environments. The model should be robust against false positives from non-accident events and be capable of processing high-resolution video data efficiently. Real-time processing and accurate accident detection are critical for the system's effectiveness in enhancing road safety. 25 | 26 | -------------------------------------------------------------------------------- /04NutriAI/README.md: -------------------------------------------------------------------------------- 1 | ## 4. NutriAI 2 | 3 | ### Background 4 | Accurately tracking nutritional intake is vital for maintaining a healthy lifestyle, but the manual process of logging meals and estimating portion sizes is often time-consuming and prone to errors. People frequently misjudge portion sizes or forget to log their meals, leading to inconsistent tracking. This lack of accurate nutritional data can make it difficult for users to meet their dietary goals, whether for weight management, disease prevention, or general wellness. 5 | 6 | ### Importance 7 | An automated system for tracking nutrition could significantly improve the accuracy and ease of dietary monitoring. It can help users make informed decisions about their food choices by providing real-time estimates of nutritional content. This is especially important for individuals managing diet-related conditions such as obesity, diabetes, or cardiovascular diseases. With accurate feedback, users can better adhere to their dietary goals, leading to improved health outcomes. 8 | 9 | ### Problem Statement 10 | **Input:** The user uploads or takes a photo of their meal. 11 | **Output:** The system provides: 12 | 1. **Nutritional estimates**: Calories, macronutrients (proteins, fats, carbohydrates), and key micronutrients (vitamins, minerals) based on the food items in the image. 13 | 2. **Personalized feedback**: Meal logging, progress tracking, and personalized recommendations aligned with the user’s dietary goals (e.g., weight loss, muscle gain, balanced nutrition). 14 | 15 | The application should allow users to: 16 | 1. Automatically log their meals by simply taking a picture. 17 | 2. Track their nutritional intake over time, including daily, weekly, or monthly summaries. 18 | 3. Set dietary goals and receive personalized meal recommendations based on their objectives. 19 | 20 | The model should: 21 | - Identify multiple food items within a single image. 22 | - Estimate nutritional content quickly and accurately across a wide range of food types and cuisines. 23 | 24 | ### Challenge 25 | The model must handle diverse food presentations and cuisines, making accurate portion size estimates from varied perspectives and image qualities. The web/mobile application should have a user-friendly interface that processes images in real-time and allows for seamless meal tracking, even on the go. 26 | -------------------------------------------------------------------------------- /05EmotiMap/README.md: -------------------------------------------------------------------------------- 1 | ## 5. EmotiMap 2 | 3 | ### Background 4 | Understanding public sentiment and emotional reactions is crucial for making informed business decisions, shaping political strategies, and conducting social research. Current sentiment analysis tools are often limited to text, failing to capture the emotional depth expressed through images or facial expressions. Social media platforms, where users often share visual content, present an opportunity to gain more comprehensive insights into public sentiment by analyzing both text and visual data. 5 | 6 | ### Importance 7 | A system that can analyze both facial expressions and text content from social media can provide organizations with deeper insights into public emotions. This could help businesses improve customer satisfaction, allow governments to respond better to public concerns, and enable researchers to study emotional trends during significant events. By understanding the full spectrum of emotional responses, organizations can tailor their actions to better meet the needs of their audiences. 8 | 9 | ### Problem Statement 10 | **Input:** The system collects and processes data from social media platforms, analyzing: 11 | - **Facial expressions** from images or videos. 12 | - **Text content** from posts, comments, and messages. 13 | 14 | **Output:** The system provides: 15 | 1. **Emotion classification**: Detects and classifies emotional states such as joy, anger, sadness, fear, and surprise. 16 | 2. **Emotion alerts**: Triggers alerts when significant shifts in emotional responses occur, such as a spike in negative reactions during an event. 17 | 18 | The model should: 19 | - Achieve a nominal accuracy across the two modalities (facial expressions and text). 20 | - Process large datasets efficiently, ensuring real-time or near-real-time analysis of public sentiment. 21 | - Focus on detecting fine-grained emotions and enable quick identification of emotional changes or trends during events. 22 | 23 | ### Challenge 24 | The system must handle diverse types of unstructured social media data, where emotional cues may be expressed in indirect ways. The facial recognition model should work well across different demographics, lighting conditions, and image qualities. The text analysis model should understand context and sentiment effectively, while the overall system must process large volumes of data quickly and provide actionable insights. 25 | -------------------------------------------------------------------------------- /10DevsType/README.md: -------------------------------------------------------------------------------- 1 | ## 10. DevsType (Typing Test Application) 2 | 3 | ### Background 4 | 5 | In the present fast moving digital world, typing speed and accuracy are the most important skills that one needs to develop for jobs and even for daily activities. A website which allows its visitors to practice, test, and improve their typing skills while also competing with others is educative as well as entertaining. Inclusions of real-time progress tracking and competitive features like leaderboards and group challenges help make learning interesting and fun. 6 | 7 | ### Importance 8 | 9 | The development of an integrated typing test platform will not only help the users improve their typing but also enable them to participate in friendly competitions.In addition, setting up environments where users can compete with friends encourages community building and develops healthy competition. 10 | 11 | ### Problem Statement 12 | 13 | Users often seek ways to improve their typing skills and engage in friendly competition with others. Current solutions may lack features that allow for both individual skill tracking and competitive interactions. There is a need for a web application where users can test their typing speed and accuracy, track their progress on a leaderboard. The leaderboard should update at intervals set by users to minimize database strain, and competitions in rooms should provide real-time progress tracking. 14 | 15 | ### Challenges 16 | 17 | 1. **Type Test:** Design a feature-rich test that measures both the speed and accuracy of typing, with an intuitive interface. Real-time feedback should be provided to visually distinguish between correct and incorrect letters/words through color-coding during the test. 18 | 2. **Leaderboard Management** Implementing a leaderboard that tracks and displays users' performance, while reducing database load by updating periodically. 19 | 3. **User Authentication:** Ensuring that users can create accounts and log in to access leaderboards, dashboard and competition features, with secure data storage and access control. 20 | 21 | ### Bonus Point 22 | 23 | 1. **Custom Rooms:** Implement the functionality of creating rooms for a live competition with friends. Rooms must accommodate at least 2 persons in them and reflect the completion process in real time. 24 | 25 | ``` 26 | 📌 Bonus Points are not mandatory to complete, but they can provide an edge in the competition. 27 | ``` 28 | -------------------------------------------------------------------------------- /07AgriVision/README.md: -------------------------------------------------------------------------------- 1 | ## 7. AgriVision 2 | 3 | ### Background 4 | Precision agriculture leverages technology to optimize farming practices, but many small-scale farmers lack access to advanced tools and expertise. Monitoring crop health and soil conditions is crucial for maximizing yield and minimizing resource use, yet traditional methods often require costly technology and specialized knowledge. Accessible technology for analyzing agricultural data can greatly benefit farmers looking to improve their practices and outcomes. 5 | 6 | ### Importance 7 | A system that provides actionable insights into crop health and soil conditions can help farmers make informed decisions, boost crop yields, and reduce environmental impact. By democratizing access to precision agriculture tools, small-scale farmers can utilize advanced technology to enhance their farming practices and achieve greater sustainability. 8 | 9 | ### Problem Statement 10 | **Input:** The system analyzes: 11 | - **Weather data**: Real-time and historical data on weather conditions affecting agriculture. 12 | - **Soil sensor data**: Measurements of soil moisture, nutrient levels, and other parameters. 13 | 14 | **Output:** The system provides: 15 | 1. **Crop health assessment**: Detects diseases, pests, and nutrient deficiencies based on weather and soil data. 16 | 2. **Soil condition monitoring**: Evaluates soil moisture levels, nutrient content, and other parameters from sensor data. 17 | 3. **Resource optimization recommendations**: Offers actionable suggestions for irrigation, fertilization, and pest control based on integrated data. 18 | 19 | The model should: 20 | - **Process multi-source data**: Combine weather and soil sensor information to deliver comprehensive insights. 21 | - **Deliver actionable insights**: Provide practical recommendations for improving crop management and resource use. 22 | - **Be accessible to farmers**: Ensure the system is user-friendly and provides valuable information without requiring extensive technical expertise. 23 | 24 | ### Challenge 25 | The system must effectively analyze and integrate data from different sources, including weather conditions and soil measurements. It should handle variations in data quality and environmental factors while ensuring that recommendations are practical and easily actionable for farmers. Making the system accessible and useful to those with varying levels of technological expertise is crucial for its success and adoption. 26 | 27 | -------------------------------------------------------------------------------- /09RecipeDrive/README.md: -------------------------------------------------------------------------------- 1 | ## 9. Recipe Drive (Recipe Sharing Community) 2 | 3 | ### Background 4 | 5 | Cooking enthusiasts often seek ways to organize their favourite recipes and share culinary creations with others. Combining personal recipe management with community sharing can enhance the experience for users who want both to keep track of their recipes and engage with a broader community of food lovers. 6 | 7 | ### Importance 8 | 9 | An integrated platform allows users to store, organize, and share recipes efficiently. By providing features for adding ingredients, cooking instructions, and categorizing recipes, users can easily manage their personal recipe collections. Additionally, sharing recipes with others, commenting on, and rating recipes fosters a vibrant community where users can discover new dishes and interact with fellow cooking enthusiasts. 10 | 11 | ### Problem Statement 12 | 13 | Users often face challenges in managing their personal recipe collections and engaging with others in the cooking community. Existing solutions might lack features for effective recipe organization, searching, and sharing. There is a need for a comprehensive platform that allows users to store and categorize their recipes, share them with others, and engage with the community through comments and ratings. 14 | 15 | ### Challenges 16 | 17 | 1. **Recipe Management:** Designing an intuitive interface for users to add, organize, and categorize their recipes with ingredients and cooking instructions, which can be shared publicly or kept private. 18 | 2. **Search and Filtering:** Implementing robust search and filtering features to help users find recipes based on recipe name ingredients, categories, or other criteria. 19 | 3. **Community Interaction:** Creating features for users to share recipes, comment on others' recipes, and vote them to foster community engagement. 20 | 4. **User Experience:** Developing a seamless experience for both managing personal recipes and participating in the community. 21 | 5. **Data Security:** Implementing user login functionality to protect user data and ensure that only authorized individuals can access or modify their personal recipes and interactions. 22 | 23 | ### Bonus Point 24 | 25 | 1. **Cousin Groups:** Designing an intuitive interface for users to create Cousin Groups to build a small community. These groups can be open for everyone to join or require users to send requests for membership. 26 | 27 | ``` 28 | 📌 Bonus Points are not mandatory to complete, but they can provide an edge in the competition. 29 | ``` 30 | -------------------------------------------------------------------------------- /21TrafficAI/README.md: -------------------------------------------------------------------------------- 1 | ## 21. TrafficAI 2 | 3 | ### Background 4 | 5 | Urbanization and an enormous rise in vehicles on the roads have presented extreme levels of traffic congestion and inefficiencies on roads. Traffic congestion results in longer commutes, higher emissions, and greater frustration for drivers. AI-driven solutions for traffic real-time management will help avoid congestion and optimize flowing of traffic as well as prevent accidents. AI analyzes all available traffic data and adjusts usage of roads accordingly; meaning it handles a large range of traffic-related issues. 6 | 7 | ### Importance 8 | 9 | The implementation of AI in traffic systems can revolutionize how cities handle congestion, optimize routes, and reduce accidents. AI solutions can provide predictive insights, real-time traffic updates, and dynamic traffic signal controls, making roads safer and more efficient. This would result in reduced emissions, shorter commute times, and more efficient road usage. 10 | 11 | ### Problem Statement 12 | 13 | **Input:** The system analyzes: 14 | 15 | - **Traffic data**: Collected from sensors, GPS data, or cameras to monitor real-time traffic conditions, vehicle speeds, and congestion patterns. 16 | - **Environmental factors**: Weather conditions, time of day, and road closures that may affect traffic flow. 17 | - **Historical data**: Past traffic patterns and accident data to provide predictive insights into traffic flow. 18 | 19 | **Output:** The system provides: 20 | 21 | 1. **Traffic flow optimization**: Adjusts traffic signal timing, reroutes vehicles, and offers real-time navigation suggestions to reduce congestion. 22 | 2. **Incident detection and response**: Identifies traffic accidents, breakdowns, or unusual slowdowns, alerting relevant authorities or rerouting traffic as needed. 23 | 3. **Predictive insights**: Provides data-driven predictions about future traffic conditions based on current patterns, allowing for proactive measures. 24 | 25 | The model should: 26 | 27 | - **Optimize real-time traffic flow**: Adjust traffic lights, reroute vehicles, and minimize congestion by analyzing real-time data. 28 | - **Provide dynamic traffic control**: Make autonomous adjustments to traffic signals and signage to enhance road efficiency and prevent gridlock. 29 | - **Ensure safety**: Detect accidents or dangerous driving patterns, sending alerts to emergency services or drivers in the area. 30 | 31 | ### Challenge 32 | 33 | The system must handle diverse conditions such as varying traffic densities, road layouts, and environmental conditions. The model should operate efficiently in real time, process large volumes of data from multiple sources, and be resilient to unpredictable events like accidents or sudden congestion. Ensuring robust, accurate decision-making to alleviate traffic issues while maintaining safety and efficiency is key. 34 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Internal Hackathon 2 | 3 | ## Hackathon Instructions 4 | 5 | ### General Information 6 | 7 | - Teams have to start at as soon as their problem statements have been finalised by the organising team. The Finalisation will be conveyed in the whatsapp group. 8 | - Date: 27th of September (Showcase) 9 | - Finals: 28th of September at Parikalpana 2k24 Event (PPT format presentation) 10 | - Team size: 3 to 4 members 11 | - Categories: 1. ML statements 2. Web-Dev statements 3. Ideathon statements 12 | - Choose only 1 problem statement to solve 13 | 14 | ### Instructions for ML and Web Dev 15 | 16 | #### Eligibility and Requirements 17 | 18 | - Students of School of Science & Technology (SST) must choose either ML or Web-Dev problem statements 19 | - For ML & Web-Dev statements: 20 | - Provide a proper GUI along with detailed explanation of solutions 21 | - Submit complete source code with proper comments describing functions 22 | - Free to use any programming languages and frameworks 23 | 24 | #### ML-Specific Instructions 25 | 26 | - Free to use any public datasets (no dataset provided) 27 | - Provide a 1-2 page document explaining the ML approach, models used, experiments, and conclusions 28 | - No copying from open-source platforms; using open-source models is allowed 29 | 30 | ### Instructions for Ideathon 31 | 32 | #### Eligibility 33 | 34 | - Open to students from schools other than SST 35 | 36 | #### Presentation 37 | 38 | - Every team must prepare a powerpoint presentation along with system flow chart or a Block diagram which is to be presented in physical mode in front of the table 39 | 40 | #### Additional Information 41 | 42 | - For queries or guidance, join the WhatsApp group mentioned in the circulated email. (NOTE: IT'S A MUST) 43 | - Problem statements are provided separately (click on the name of a problem statement for instructions) 44 | 45 | ## Evaluation Criteria 46 | 47 | - Implementation Novelty: Originality and creativity of the solution. 48 | - For **ML & Web-Dev** statements only: Code Presence: Completeness and organization of source code. 49 | - Solution Completeness: How well the solution meets the problem statement. 50 | - Idea Uniqueness: Uniqueness and innovation of the idea. 51 | - For **ML & Web-Dev** statements only: Code Quality: Readability, maintainability, and documentation of the code. 52 | 53 | # Hackathon Problem Statements:- (For School of Science & Technology) 54 | 55 | ## ML based Problem Statements:- 56 | 57 | ### [01. EcoScan](./01EcoScan/README.md) 58 | 59 | ### [02. SoundScape](./02SoundScape/README.md) 60 | 61 | ### [03. GestureFlow](./03GestureFlow/README.md) 62 | 63 | ### [04. NutriAI](./04NutriAI/README.md) 64 | 65 | ### [05. EmotiMap](./05EmotiMap/README.md) 66 | 67 | ### [06. SafeDrive](./06SafeDrive/README.md) 68 | 69 | ### [07. AgriVision](./07AgriVision/README.md) 70 | 71 | ### [21. TrafficAI](./21TrafficAI/README.md) 72 | 73 | ## Web-Dev based Problem Statements:- 74 | 75 | ### [08. ExpenseTracker](./08ExpenseTracker/README.md) 76 | 77 | ### [09. RecipeDrive](./09RecipeDrive/README.md) 78 | 79 | ### [10. DevsType](./10DevsType/README.md) 80 | 81 | # Ideathon Problem Statements:- (For Agriculture, Health Science and Marine Engineering Departments) 82 | 83 | ### [11. Sustainable Crop Rotation Systems for Small-Scale Farmers](./11Agri_SustainableCropRotations/README.md) 84 | 85 | ### [12. Personalized Medicine Delivery Systems for Chronic Diseases](./12Pharmacy_PersonalizedMedicineDeliverySystem/README.md) 86 | 87 | ### [13. Smart Traffic Management Systems for Reducing Urban Congestion](./13_Transport_Traffic_System/README.md) 88 | 89 | ### [14. Community-Based Early Warning Systems for Infectious Disease Outbreaks](./14_Public_Health_Warning_Systems/README.md) 90 | 91 | ### [15. Adaptive Learning Platforms for Students with Learning Disabilities](./15_Education_Tech_Learning_Platform_Disabilities/README.md) 92 | 93 | ### [16. Sustainable Energy Solutions for Marine Vessels - Hybrid Propulsion Systems](./16_Hybrid_Propulsion_Systems/README.md) 94 | 95 | ### [17. IoT-Based Energy Monitoring for Marine Vessels](./17_IoT_Based_Energy_Monitoring_for_Marine_Vessels/README.md) 96 | 97 | ### [18. IoT-Enabled Ballast Water Management for Pollution Control](./18_Ballast_Water_Management/README.md) 98 | 99 | ### [19. IoT-Based Precision Irrigation Systems](./19_Precision_Irrigation_Systems/README.md) 100 | 101 | ### [20. IoT-Enabled Pest and Disease Detection in Crops](./20_Pest_and_Disease_Detection_in_Crops/README.md) 102 | 103 | --- 104 | --------------------------------------------------------------------------------