https://github.com/integeralex/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
https://github.com/integeralex/netflix-recommendation-system

ai collaborate docker express netflix nodejs pandas recommendation-system scikit-learn

Last synced: 4 months ago
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This Netflix Recommendation System is a web application developed using Node.js and Express. It utilizes a recommendation engine written in Python

• Host: GitHub
• URL: https://github.com/integeralex/netflix-recommendation-system
• Owner: IntegerAlex
• License: gpl-3.0
• Created: 2024-03-20T12:57:17.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-09-12T09:54:26.000Z (5 months ago)
• Last Synced: 2024-09-12T21:05:44.018Z (5 months ago)
• Topics: ai, collaborate, docker, express, netflix, nodejs, pandas, recommendation-system, scikit-learn
• Language: TypeScript
• Homepage: https://netflix-recommendation-system-v2ndqtpkjq-uc.a.run.app
• Size: 15.3 MB
• Stars: 7
• Watchers: 1
• Forks: 4
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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README

        
# Netflix Recommendation System

[![DeepSource](https://app.deepsource.com/gh/IntegerAlex/netflix-recommendation-system.svg/?label=resolved+issues&show_trend=true&token=Wf2-GuVUSjTodDd2sMJ2zYrm)](https://app.deepsource.com/gh/IntegerAlex/netflix-recommendation-system/)

[![CodeScene Code Health](https://codescene.io/projects/51785/status-badges/code-health)](https://codescene.io/projects/51785)

![CodeQL](https://github.com/IntegerAlex/netflix-recommendation-system/workflows/CodeQL/badge.svg)

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](/ALORITHM.md)

## 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:

- ![Home page](/screenshots/index.html.png)

  Landing page

- ![Loading screen](/screenshots/loading.png)

 After Input wait for Loading

- ![Recommendations](/screenshots/recommendations.png)

  Recommedations generated after user input

## Demo

Here is a demo using the application

[![DEMO](/screenshots/yt.png)](http://www.youtube.com/watch?v=013HnsjD75w "DEMO")

## 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](LICENSE).