DEEPFECTOR

DEEPFECTOR is a Flutter-based mobile application designed to detect deepfake images and videos using advanced machine learning techniques.

🚀 Features

• Real-time deepfake detection
• Support for both image and video analysis
• User-friendly interface
• Detailed analysis reports
• Secure authentication system
• Cross-platform compatibility (iOS & Android)

🛠️ Technologies Used

• Flutter
• Firebase Authentication
• TensorFlow Lite
• Machine Learning Models
• Cloud Storage
• REST APIs

🔑 Screenshots

[Add your app screenshots here]

⚙️ Installation

1. Clone the repository

git clone https://github.com/ItsRajSingh/DEEPFECTOR.git

2. Install dependencies

flutter pub get

3. Configure Firebase

   • Create a new Firebase project
   • Add your google-services.json (Android) and GoogleService-Info.plist (iOS)
   • Enable Authentication and Storage services

4. Run the app

flutter run

🔑 Environment Variables

Create a .env file in the root directory and add:

API_KEY=your_api_key
FIREBASE_PROJECT_ID=your_project_id

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

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

👨‍💻 Author

• Raj Singh - GitHub Profile

🙏 Acknowledgments

• Flutter Team
• Firebase
• TensorFlow