Personalized Movie Recommendations using Collaborative Filtering

This project generates personalized movie recommendations for users using collaborative filtering algorithms. The system collects data on user ratings and preferences, finds similarities with other users, and recommends movies that similar users have liked. The project also implements features such as filtering by genre and rating thresholds.