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NetflixGPT

NetflixGPT is a Netflix-inspired web application enhanced with GPT-powered features. This clone allows users to browse, search, and view movie details with an AI-driven experience.

Live Demo

Check out the live version of the app here.

Features

  • Browse Movies and TV Shows: Explore a wide range of movies and TV shows with a sleek, Netflix-like interface.
  • Search Functionality: Quickly find your favorite content using the intuitive search bar powered by GPT.
  • AI-Powered Recommendations: Get personalized movie recommendations based on your viewing history.
  • Responsive Design: Enjoy a seamless experience across all devices, from mobile to desktop.
  • User Authentication: Secure login and registration to personalize your experience.

Technologies Used

  • React: Frontend library for building user interfaces.
  • GPT Integration: Leveraged GPT models for enhanced search and recommendation functionalities.
  • CSS Modules/Tailwind CSS: For styling the components and ensuring a responsive design.
  • React Router: For managing navigation and routing within the app.
  • Firebase/Authentication: Used for user authentication and secure login.

Installation

  1. Clone the repository:
    git clone https://github.com/jk872001/netflixgpt.git
  2. Navigate to the project directory:
    cd netflixgpt
  3. Install dependencies:
    npm install
  4. Start the development server:
    npm start
    The app will be available at http://localhost:3000 in your browser.

Usage

  • Browse Content: Navigate through the vast collection of movies and TV shows.
  • Search and Discover: Use the AI-powered search bar to find exactly what you’re looking for.
  • Personalized Recommendations: Receive AI-driven recommendations tailored to your tastes.
  • Login/Register: Securely log in or register to save your preferences and history.

Contributing

If you’d like to contribute to the project, feel free to fork the repository and submit a pull request. Contributions are welcome and appreciated!

License

This project is licensed under the MIT License.

Contact

For any inquiries or feedback, please reach out to [email protected].


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