The Movie Recommendation System is a web application that provides personalized movie recommendations based on user preferences and viewing history. By analyzing user interactions and applying collaborative filtering algorithms, the system suggests movies that are likely to be of interest to the user.
- User-friendly interface for easy navigation
- Personalized movie recommendations based on user preferences
- Ability to rate and review movies for better recommendations
Check out the live demo of the Movie Recommendation System: Movie Recommendation System Demo
To run the Movie Recommendation System locally, follow these steps:
- Clone the repository:
git clone https://github.com/Alex19578/movie-recommendation-system.git
- Navigate to the project directory:
cd movie-recommendation-system
- Install the required dependencies:
pip install -r requirements.txt
- Start the application:
python app.py
- Open your web browser and visit http://localhost:5000 to access the Movie Recommendation System.
The Movie Recommendation System is built using the following technologies:
- Python
- Flask (Python web framework)
- HTML
- CSS
- JavaScript
Contributions are welcome! If you find any bugs or have suggestions for improvements, please feel free to open an issue or submit a pull request.
This project is licensed under the MIT License.
- The Movie Recommendation System was inspired by the need for personalized movie recommendations in the era of streaming platforms.
- Special thanks to the contributors who helped in the development of this project.
For any inquiries or feedback, please contact us at [email protected].
Note: This project is for educational and demonstration purposes only. The recommendations provided may not align with personal preferences or industry standards.