Django Movie Recommender

Django Movie Recommender is a web application that recommends movies based on user preferences. It uses machine learning to analyze movie data and provide personalized recommendations to users.

Features

• Select a movie from the dropdown menu.
• Fetches details of the selected movie from The Movie Database (TMDb) API.
• Provides recommendations based on selected movies.

Installation

1. Clone the repository:

   git clone https://github.com/KaveeshTennakoon/MovieRecommendation.git

2. Navigate to the project directory:

   cd django-movie-recommender

3. Create and activate a virtual environment:

   python3 -m venv myenv
   source myenv/bin/activate  # On Windows, use `myenv\Scripts\activate`

4. Install dependencies:

   pip install -r requirements.txt

5. Set up your TMDb API key:

• Sign up for a free account on TMDb to get an API key.
• Replace 'your_tmdb_api_key' in recommender/views.py with your actual TMDb API key.

6. Run the development server:

   python manage.py runserver

7. Access the web application in your browser at http://127.0.0.1:8000/.

Usage

1. Open the web application in your browser.
2. Select a movie from the dropdown menu.
3. Get recommendations based on selected movies.

Contributing

Contributions are welcome! If you have any suggestions, enhancements, or bug fixes, please open an issue or create a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.