This is a simple implementation of the movie recommendation system. It uses collaborative filtering method to recommend the five first relavant movie based on searching. It uses the technique of text vectorisation to recommend the five first relavant movies.
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Datasets: https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata?resource=download&select=tmdb_5000_movies.csv https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata?resource=download&select=tmdb_5000_credits.csv
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Library stream.io: https://streamlit.io/ tmdb api: https://developer.themoviedb.org/reference/intro/getting-started