Deepfake Image Detection Tool

📌 Overview

Deepfake Image Detection Tool is a machine learning application that detects whether an image is real or AI-generated/manipulated. The system analyzes image features using a trained deep learning model and provides a prediction along with a confidence score.

🚀 Features

• Detects real and deepfake images
• Provides prediction confidence score
• Fast and efficient image analysis
• User-friendly interface
• Supports JPG, JPEG, and PNG formats

🛠️ Tech Stack

• Python
• TensorFlow / PyTorch
• OpenCV
• NumPy
• Flask / FastAPI
• HTML, CSS, JavaScript

📂 Project Structure

deepfake-image-detector/ ├── model/ ├── dataset/ ├── static/ ├── templates/ ├── app.py ├── train.py ├── requirements.txt └── README.md

⚙️ Installation

1. Clone the repository:

git clone https://github.com/your-username/deepfake-image-detector.git

2. Navigate to the project directory:

cd deepfake-image-detector

3. Install dependencies:

pip install -r requirements.txt

▶️ Running the Application

python app.py

Open your browser and visit:

http://localhost:5000

📸 How It Works

1. Upload an image.
2. The image is preprocessed and analyzed.
3. The trained model extracts relevant features.
4. The system predicts whether the image is real or deepfake.
5. A confidence score is displayed.

📊 Example Output

Prediction: Deepfake Confidence: 94.7%

🔮 Future Enhancements

• Deepfake video detection
• Real-time webcam analysis
• Improved model accuracy
• Explainable AI visualizations
• Cloud deployment support

🤝 Contributing

Contributions are welcome. Feel free to fork the repository and submit a pull request.

📜 License

This project is licensed under the MIT License.

👨‍💻 Author

Developed as a machine learning project to explore deepfake detection using computer vision and deep learning techniques.