Neuro-Symmetry v2.0 — Multimodal Neurological Signal Detection Engine

Developed a multimodal neurological signal detection engine designed to identify early signs of facial asymmetry associated with stroke and facial palsy. The system focuses on real-time facial asymmetry analysis and uses multiple datasets for normal facial pretraining, facial landmark accuracy, pathological fine-tuning, and expression filtering. The project is structured around a multi-phase implementation pipeline with a Python backend and web frontend.