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Movie Recommender System

This is a Movie Recommender System built using Streamlit and Python. It recommends similar movies based on user input and displays movie details.

Installation

  1. Clone the repository:
git clone https://github.com/shaadclt/Movie-Recommender-System.git
  1. Navigate to the project directory:
cd Movie-Recommender-System
  1. Install the required dependencies:
pip install -r requirements.txt
  1. Run the application:
streamlit run movies.py
  1. Open your web browser and go to http://localhost:8501 to access the Movie Recommender System.

Usage

  1. Enter the name of a movie in the search box.

  2. Click the "Recommend" button to get a list of recommended movies similar to the selected movie.

  3. The recommended movies will be displayed along with their posters.

  4. Click on a recommended movie to view its details in the sidebar.

Credits

  • The movie data is sourced from The Movie Database (TMDb).
  • The recommender system uses collaborative filtering and cosine similarity.
  • The movie posters are retrieved using the TMDb API.

License

This project is licensed under the MIT License.