Netflix Recommendation System

This Netflix Recommendation System is a web application developed using Node.js and Express. It utilizes a recommendation engine written in Python to provide personalized Netflix recommendations based on user input. The system integrates with the OMDB API to fetch movie details and leverages a large dataset for accurate recommendations. ALGORITHM

Features

• Personalized Recommendations: Users can input their preferences, and the system provides tailored movie recommendations.
• Advanced Search Functionality: The system offers a comprehensive search feature to help users find specific movies.
• Integration with OMDB API: Utilizes the OMDB API to retrieve detailed information about movies, including posters, release years, genres, and ratings.

Technologies Used

• Node.js: The backend of the application is developed using Node.js, providing a fast and scalable environment.
• Express: Express.js is used to handle routing and middleware functions, facilitating the development of the RESTful API.
• Python: The recommendation engine is implemented in Python, allowing for efficient and accurate movie recommendations.
• EJS: EJS is used as the templating engine to dynamically generate HTML pages.
• OMDB API: Integration with the OMDB API enables access to a vast database of movie information.

Screenshots

Here are some screenshots showcasing our application:

• Landing page

• After Input wait for Loading

• Recommedations generated after user input

Demo

Here is a demo using the application

Contributing

Contributions are welcome! If you have any ideas, suggestions, or improvements, please feel free to open an issue or submit a pull request.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project, you agree to abide by its terms.

License

This project is licensed under the GPL V3.