Netflix GPT

Netflix GPT is a single-page web application that allows users to explore movies from the TMDB API, while offering AI-powered content generation through GPT. The app leverages React for the frontend, Redux for state management, and Firebase for authentication.

Features

• User Authentication: Sign in and sign up using Firebase.
• Movie Catalog: Browse movies fetched from the TMDB API.
• AI-Powered GPT: Generate content or get recommendations powered by GPT.
• Custom Reusable Components: Efficient UI/UX with reusable React components.
• State Management: Centralized state handling using Redux.
• Responsive Design: Fully responsive design for a seamless experience on any device.

Technologies Used

• React: Frontend framework.
• Redux: State management.
• Firebase: Authentication and deployment.
• TMDB API: Movie data fetching.
• Gemini API: GPT-based content generation.

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/netflix-gpt.git
   cd netflix-gpt

2. Install the dependencies:

   npm install

3. Set up your environment variables:

   Create a .env file in the root directory and add your Firebase config and API keys for TMDB and Gemini.

   REACT_APP_FIREBASE_API_KEY=your_firebase_api_key
   REACT_APP_TMDB_API_KEY=your_tmdb_api_key
   REACT_APP_GEMINI_API_KEY=your_gemini_api_key

4. Start the development server:

   npm start

5. Access the app at http://localhost:3000.

Deployment

This app is deployed on Firebase Hosting. To deploy your own version, follow these steps:

1. Install Firebase CLI:

   npm install -g firebase-tools

2. Log in to Firebase:

   firebase login

3. Initialize Firebase in the project:

   firebase init

4. Deploy to Firebase Hosting:

   firebase deploy

Future Improvements

• Enhance GPT integration for more personalized recommendations.
• Improve UI for a more immersive experience.
• Add additional filters and sorting options for movie browsing.
• Integrate a watchlist feature for users to save favorite movies.

Contributing

Feel free to submit issues or pull requests. Any contributions are welcome!

License

This project is licensed under the MIT License.

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This project is developed while learning from Namaste React by Akshay Saini. Check out his course