An intelligent recommendation system that matches users with relevant projects based on their skills, interests, and interactions. The system employs advanced machine learning techniques including collaborative filtering and content-based filtering to deliver personalized project suggestions.
- 🎯 Personalized Recommendations: Generate user-specific project matches
- 🤝 Collaborative Filtering: Learn from user interactions and behavior patterns
- 📝 Content-Based Filtering: Match based on project descriptions and user skills
- 🚀 REST API: Easy integration via Flask/FastAPI endpoints
- 💾 Database Integration: Robust data storage with PostgreSQL
- Backend: Python, Flask/FastAPI
- Machine Learning: Scikit-Learn, Pandas, NumPy
- Database: PostgreSQL (or SQLite for testing)
- Frontend (Optional): React (for UI visualization)
Clone the repository and install dependencies:
git clone https://github.com/yourusername/AI-Recommendation-System.git
cd AI-Recommendation-System
pip install -r requirements.txt