To design a system capable of detecting deepfake videos, images, and audio, ensuring media integrity. The project focuses on using AI and machine learning to analyze content authenticity and prevent misinformation in the media industry.
Collect datasets of real and deepfake media.
Perform preprocessing for image, audio, and video data.
Train deep learning models for deepfake detection.
Implement feature extraction for facial and audio anomalies.
Build a detection dashboard with real-time analysis.
Test system accuracy on new deepfake media.
Integrate alerts and reports for suspicious content.
Optimize system performance for speed and scalability.
Document methodology, dataset details, and experimental results.
