Hybrid-Movie-Recommendation-System

This project is a Hybrid Movie Recommendation System built using Python. It combines content-based filtering and collaborative filtering techniques to recommend movies to users more accurately. Additionally, a Genetic Algorithm is implemented to optimize the recommendation results, making the system more adaptive and intelligent over time. The project is deployed with Streamlit, allowing users to interact with the model through a simple web interface.