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Movie Recommender System with TMDb 5000 Dataset

Overview

Welcome to the Movie Recommender System project, developed as part of my computer engineering studies. This system harnesses the power of the TMDb 5000 dataset to offer personalized movie recommendations, detailed movie information, and an enjoyable movie discovery experience.

Features

  • Personalized Recommendations: Receive movie recommendations tailored to your preferences.
  • Easy Search: Quickly find specific movies or explore by genres and ratings.

Dataset

We leverage the TMDb 5000 dataset, a comprehensive collection of movie data, including over 5,000 movies. This dataset contains crucial information that forms the backbone of our recommendation engine.

Screenshots

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Credits

TMDb: We extend our gratitude to TMDb for providing the valuable TMDb 5000 dataset.

Feedback and Support

Your feedback, questions, and suggestions are highly valued. If you encounter any issues or have ideas for improvements, please feel free to open an issue.

Contributors

  • [Aakash A. Joshi]

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