Movie Recommendation System

Movie Recommendation System

201912051 Raed Taha 
201911692 Omar Emad 
2019120134 Abdulrahman El kufi 

Our project “Solitude Space” offers a comprehensive movie recommendation system that improves user satisfaction with regard to film selection by utilizing data from IMDb and TF-IDF sentiment analysis. Our inspiration comes from the increasing number of movies available, which frequently overwhelms audiences with choices. Our goals are to streamline this procedure and offer personalized advice.
Our method preprocesses movie reviews with TF-IDF sentiment analysis to efficiently gather user attitudes. We examined a variety of movie characteristics, including genre, director, and user ratings, by examining IMDb data. We offer individualized recommendations based on user preferences using a collaborative filtering technique.
To sum up, this project presents a user-centric movie recommendation system that improves the cinematic experience by pointing viewers in the direction of material that suits their preferences.