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In this project we will be investigating the TMDB Dataset which is providing us with various useful information regarding movies and how good or bad they performed both qualitatively and quantitatively. Our aim is to get some insight into what makes movies get better reviews and get more viewers and hence make more revenues.
This code and data create a movie recommender system using content based filtering and cosine similarity. It uses the features of movies (genre, crew, etc.) to find and suggest similar movies to users.
Explore the codebase of this meticulously crafted Flutter-powered Netflix clone. Clean architecture and BLoC state management for a seamless movie streaming experience!