Choice for entertainment and to relax in this tiring world. Everyone will have a special movie that motivates them to work harder, makes them see life from a different perspective, and gives them hope. But, with the number of movies available now, it is almost impossible to select the movie suitable for you. So, to solve that problem, we aim to build a system for recommendations, based on the IMDB dataset and Movie Lens Dataset. We tend to build the system with the entire features of a particular movie such as title, rating, genre, and language. The parameters such as accuracy and model evaluation are performed. To get the most appropriate recommendation, we are combining both collaborative filtering and content-based filtering techniques, so that the user gets the best experience. This model will filter movies based on the user inputs and ratings given by people across the world. This model will have results that are significantly accurate.