This project develops a deepfake detection system for both voice and facial recognition, identifying manipulated biometric data using advanced feature extraction and machine learning. Key methods include facial landmark detection, optical flow, and texture analysis to detect inconsistencies in video (using datasets like DeeperForensics-1.0), while...