Deepfake Detection System
A multimodal deep learning system for deepfake video detection combining teeth detection and lip–audio synchronization.
Python TensorFlow Keras Computer Vision
Overview
A multimodal deep learning system for detecting deepfake videos, developed during MSc research at Otto-Von-Guericke University. The system fuses visual and audio signals to identify manipulated content.
Key Features
- Teeth detection model for identifying visual inconsistencies across video frames
- Lip–audio synchronization module for cross-modal consistency checking
- Multimodal fusion pipeline combining visual and audio analysis signals
Results
Achieved 93.26% detection accuracy on a benchmark deepfake dataset using the combined multimodal approach.