Digital Facial Biomarkers for Age Related Health Condition Detection Parkinson Disease

This project proposes a real-time AI framework for Parkinson’s disease screening using facial videos, OpenFace biomarkers, CNN/DGCN visual features, GPT-4o/BERT medical knowledge, and dual cross-attention fusion. The web system achieved 75% accuracy with 5-fold ensemble validation.