StudySync 🎓

StudySync is an AI-powered Django web application that forms balanced student study groups using K-Means clustering. By analyzing student preferences, skill levels, and study habits, the system intelligently groups students for optimal collaboration.

🚀 Features

• Student Data Upload via CSV
• AI-based Study Group Formation using K-Means Clustering
• Clean Group Output Presentation (Grouped student lists)
• Model Training & Deployment (Offline training, online predictions)
• Responsive Web Interface (User-friendly input and output views)

🛠 Tech Stack

• Backend: Django, Scikit-learn, Pandas, NumPy
• Model Persistence: joblib
• Frontend: HTML, CSS, Bootstrap/Tailwind (optional), JavaScript
• Data Handling: CSV Uploads

🤝 Contribution

Contributions are welcome! Feel free to submit a pull request or open an issue to suggest improvements.

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Contact

Author: Maruf Hossain
Dept. of CSE
Green University of Bangladesh
📧 Email: [email protected] , [email protected]