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tmdb-api-for-fetching-real-time-movie-data

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Manshreet27 / mrs

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This Movie Recommendation System is a web-based application built using Python and Streamlit, designed to provide movie recommendations based on user preferences. It utilizes TMDb API for fetching real-time movie details and Kaggle's TMDB 5000 Movies dataset for content-based filtering.

python numpy scikit-learn pandas streamlit tmdb-5000-movies-dataset-from-kaggle tmdb-api-for-fetching-real-time-movie-data
  • Updated Jul 11, 2025
  • Jupyter Notebook

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