Developed a personalized movie recommendation system using collaborative filtering techniques with K-Nearest Neighbors
(KNN) on a large movie ratings dataset. This recommendation system leverages user-item interactions (ratings) to suggest
movies similar to a given input movie, improving user experience by offering relevant movie suggestions based on previous
behavior patterns.