https://github.com/manshreet27/mrs
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.
https://github.com/manshreet27/mrs
numpy pandas python scikit-learn streamlit tmdb-5000-movies-dataset-from-kaggle tmdb-api-for-fetching-real-time-movie-data
Last synced: 3 months ago
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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.
- Host: GitHub
- URL: https://github.com/manshreet27/mrs
- Owner: Manshreet27
- Created: 2025-03-16T07:07:26.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-07-11T18:23:33.000Z (12 months ago)
- Last Synced: 2025-07-11T19:12:56.198Z (12 months ago)
- Topics: numpy, pandas, python, scikit-learn, streamlit, tmdb-5000-movies-dataset-from-kaggle, tmdb-api-for-fetching-real-time-movie-data
- Language: Jupyter Notebook
- Homepage:
- Size: 5.26 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files: