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movie-recommendation-app

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This project features a Movie Recommendation System that combines cosine similarity for personalized movie suggestions with sentiment analysis of real-time reviews from IMDb. By analyzing user sentiments, the system provides insights into how well-received a movie is by audiences, enhancing the recommendation experience.

  • Updated Jul 27, 2024
  • Jupyter Notebook

This project uses machine learning to create a personalized movie recommendation system. By combining collaborative filtering and content-based filtering, it analyzes user preferences and movie attributes to suggest tailored movie recommendations. The system offers real-time updates and accurate predictions to enhance the user experience.

  • Updated Jul 29, 2024
  • Jupyter Notebook

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