Zee Recommender Systems is a personalized movie recommendation project built using the MovieLens dataset. It implements collaborative filtering, similarity-based models, and matrix factorization to enhance user experience by suggesting movies tailored to individual preferences. Includes EDA, evaluation (RMSE & MAPE) and visualization of embeddings.