Recommendation systems have become increasingly popular in recent times. They are utilized in a variety of areas like music, videos, and social sites. There are two ways to produce recommendation-through collaborative filtering-which presents recommendation based on past history of the user. Content-based filtering uses similarity between items to recommend a product. In this paper, we have proposed a movie recommendation system based on collaborative filtering method and simple method of ranking movies according to their popularity rating. The system has been developed using PHP, python.