Movie Recommendation System

Tired of scrolling through endless movie titles? My content-based recommendation system does the heavy lifting, pairing TF-IDF vectorization with NLTK-driven text preprocessing for sharper, more relevant suggestions. Deployed via Streamlit, it serves 50+ daily users with an intuitive interface—so you can spend less time searching and more time watching

Application Development
October 10, 2024
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