DEEP FAKE DETECTION SYSTEM 🎭

📜 Description The DEEP FAKE DETECTION SYSTEM is designed to identify and flag deep fake videos using advanced machine learning algorithms. This project is part of the AI series, which focuses on providing cutting-edge AI solutions to counter deepfake vuideos and images.

✨ Features Accurate Deep Fake Detection: Utilizes state-of-the-art algorithms to detect deep fakes with high accuracy. User-Friendly Interface: Easy to use interface for uploading and analyzing videos. Real-Time Analysis: Capable of processing videos in real-time for immediate feedback.

🚀 Future Features Enhanced Detection Algorithms: Continuously improving detection accuracy with new algorithms. Multi-Language Support: Expanding the system to support multiple languages. Mobile Application: Developing a mobile app for on-the-go deep fake detection.

🛠️ Installation To get started, clone the repository and install the required dependencies:

git clone https://github.com/KunjShah95/DEEP-FAKE-DETECTION-SYSTEM.git

cd DEEP-FAKE-DETECTION-SYSTEM

pip install -r requirements.txt

🎬 Usage Run the Jupyter Notebook to start analyzing videos:

jupyter notebook

Open the deep_fake_detection.ipynb file and follow the instructions to upload and analyze videos.

🤝 Contributing

We welcome contributions! Please follow these steps to contribute:

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

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

🙏 Acknowledgments Thanks to the AIMERZ Masterclass team for their support and guidance. Special thanks to all contributors and users for their valuable feedback.