Movie Recommendation System using Machine Learning

A machine learning-based Movie Recommendation System designed to suggest relevant movies to users based on patterns in movie metadata and user preferences. The system learns from movie features and (if available) user rating input to generate personalized suggestions, improving the user experience in discovering new films. 🚀 Project Features The system offers the following key features: ⭐ User Ratings: View ratings of input movies to make informed choices. 📚 Movie Database: A comprehensive database with detailed information about movies. 🎯 Personalized Recommendations: Real-time movie suggestions tailored to individual user preferences. 🎭 Genre-Based Recommendations: Get suggestions based on specific genres like Action, Romance, Comedy, etc. 🔥 Trending & Popular Movies: Highlight trending and popular movies to stay up-to-date with the latest releases. 🔍 Search & Filter: Easily search for movies and filter results by genre, release year, and more.