Content-Based Movie Recommendation System with StreamlitContent-Based Movie Recommendation System with Streamlit
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Movie Recommendation System — Built a content-based movie recommender using Python, Pandas, Scikit-learn and CountVectorizer. It analyzes movie genres, cast, crew, keywords and descriptions to generate Top-5 similar movie recommendations, displayed through a Streamlit interface with TMDB posters.
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