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githubatulubale/AI-Powered-Image-Forgery-Detection-

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Web application for Image Forgery Detection using CNN on the FIDAC dataset.

PythonDjangoTensorFlowLicense


📚 Dataset

TheFIDAC dataset is available onIEEE Dataport and contains original camera-clicked images along with their tampered versions. This dataset is used to train and test the CNN model and compare it with other pre-defined models across different dataset combinations.

⚙️ Running the Web Application

  1. Install Python3 and pip3
  2. Clone this repository:
    git clone https://github.com/your-username/IFAKE_WebApp.git
  3. Open a terminal and navigate to theIFAKE_WebApp folder
  4. Install the required Python packages:
    pip3 install -r requirements.txt
  5. Start the web application:
    python3 manage.py runserver
  6. Open a browser and go to:

Preview

PDF Detection Screenshot

👥 Contributors

  • Atul Ubale
  • Sarthak Mathpati
  • Pratibha Markad

📜 License

This project is open-source and available under theMIT License.


Made with ❤️ byAtul Ubale, Sarthak Mathpati & Pratibha Markad

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