Fauth AI – A Multimodal Deepfake Detection using Deep Learning

FauthAI is an end-to-end framework for deepfake detection integrating CNNs for local artifact
detection, RNNs/LSTMs for temporal inconsistency analysis, and Vision Transformers for
global feature extraction. The system also employs frequency domain and audio-based analysis
for spectral anomalies and voice signature evaluation. Multimodal fusion of audio-visual data
and ensemble learning enhances detection accuracy across datasets such as DFDC, Face
Forensics++, Celeb-DF v2, and ASVspoof. The framework offers a scalable and robust solution
for digital content authentication, media forensics, and misinformation management.