Movie Recommendation System
- Engineered hybrid recommendation system using collaborative filtering, matrix factorization, and TF-IDF vectorization
- Implemented personalized movie suggestions based on user behavior analysis and content feature extraction
- Optimized model to enhance content discovery and improve recommendation accuracy
- Processed large-scale movie and user data to generate relevant, tailored recommendations
- Developed interactive web interface using Streamlit for seamless user interaction and real-time recommendations
