Description: "Create a personalized Movie Recommendation System that suggests films based on user preferences and viewing history. This project introduces students to collaborative filtering, content-based filtering, and hybrid recommendation techniques, providing practical insights into how recommendation engines work in platforms like Netflix and Amazon ."