Multimodal Deepfake Detection via Audio-Visual Fusion
Architected a scalable multimodal deepfake detection pipeline utilizing a Transformer-based attention mechanism to fuse spatial, temporal, and acoustic embeddings, achieving 95% accuracy and 0.97 AUC.