Dataset Link - https://drive.google.com/file/d/1ETlx_ym7QLCHCXF3sBeTGqts-uwFISHa/view?usp=drive_link

Deepfake Attacks Prevention

Overview

This project focuses on detecting and preventing deepfake attacks using advanced methodologies. Deepfakes, generated through AI-based techniques, pose significant security threats, making it crucial to develop robust detection mechanisms.

Features

• Identification of deepfake-generated images and videos
• Implementation of machine learning techniques for detection
• Prevention mechanisms to mitigate deepfake threats

Installation

1. Clone this repository:

   git clone <repository-url>

2. Install the required dependencies:

   pip install -r requirements.txt

3. Run the project:

   python main.py

Usage

• Input deepfake media files for analysis.
• The system provides a confidence score regarding the authenticity of the content.
• Possible countermeasures can be applied based on detection results.

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a feature branch (feature-branch).
3. Commit your changes.
4. Submit a pull request.