DeMorph

A comprehensive deepfake detection solution.

Features

• Robust Detection: Analyzes facial movements, lip synchronization, and audio-visual consistency for comprehensive detection.
• Explainable AI (XAI) Insights: Provides detailed visual explanations of detected abnormalities using Grad-CAM techniques.
• Video Processing & Reporting: Supports real-time and batch processing of videos, ensuring efficiency in deepfake detection. Generates downloadable reports that include authenticity status, detected abnormalities, and confidence scores.
• Web Content Monitoring: Lists top websites known for distributing deepfake content, warning users of potential risks.
• Twitter Trend Analysis: Allows users to check whether media files uploaded in a twitter trend are authentic or not.

Technologies Used

• Languages: Python, TypeScript
• Frameworks: Flask, React, TailwindCSS
• DL & CV: PyTorch, OpenCV, GradCAM
• Database: PostgreSQL

Snapshots

Important Links

• GitHub Repo: Click Here
• Live Project: Click Here
• Documentation: Click Here