The rapid growth of digital platforms has resulted in a massive collection of movies, making it difficult for users to find content suited to their interests. A Movie Recommendation System aims to solve this problem by suggesting personalized movie options. This project leverages Collaborative Filtering and K-Nearest Neighbor (KNN) algorithms to generate recommendations based on user preferences and similarities.