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This repository contains the source code for Binge Buddy, a web application that provides personalized movie recommendations based on user preferences and moods. The application uses AI to generate recommendations, allowing users to discover movies that match their interests even if they don't know the specific titles.

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Atrika10/BingeBuddy

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Binge Budddy

Binge Buddy is a web application designed to help users discover and track their favorite movies. By leveraging AI, you can search based on your preferences. For example, if you want to watch movies that describe the meaning of life or the purpose of life but don't know the movie names, you can type your preference, and you will get AI-generated movie recommendations.

Features

  • Search Functionality: Easily search for any TV show or movie.

Installation

To run this project locally, follow these steps:

  1. Clone the repository:

    git clone https://github.com/yourusername/binge-buddy.git
    cd binge-buddy
  2. Install dependencies:

    npm install
  3. Create a .env file: Create a .env file in the root directory and add your environment variables. For example:

    API_KEY=your_api_key_here
  4. Run the application:

    npm run dev

Usage

Once the application is running, open your browser and navigate to http://localhost:5173 to start using Binge Buddy.

Contributing

Contributions are welcome! Please follow these steps to contribute:

  1. Fork the repository.
  2. Create a new branch (git checkout -b feature/your-feature-name).
  3. Make your changes.
  4. Commit your changes (git commit -m 'Add some feature').
  5. Push to the branch (git push origin feature/your-feature-name).
  6. Open a pull request.

License

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

Contact

For any inquiries or feedback, please contact atrikashow02@gmail.com.

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This repository contains the source code for Binge Buddy, a web application that provides personalized movie recommendations based on user preferences and moods. The application uses AI to generate recommendations, allowing users to discover movies that match their interests even if they don't know the specific titles.

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