AI Health Guardian - Offline Multimodal Care

AI Health Guardian is an offline multimodal agentic health scanner designed for low-resource communities where cloud-based healthcare tools cannot operate. It combines vision analysis, cough and breath audio models, rPPG signals, and adaptive questionnaires to produce instant health insights directly on-device—no internet, no servers, no cost barriers. Built for underserved populations, it addresses anemia, respiratory issues, stress, heart-rate anomalies, nutrition risks, and preventive care using edge-optimized ML pipelines. The system also initiates autonomous agentic tasks, such as guiding users, adapting tests, and delivering personalized next-step recommendations. By eliminating cloud dependency and enabling medical screening on any affordable smartphone, AI Health Guardian bridges a critical global gap—bringing privacy-safe, accessible diagnostics to rural, remote, and disconnected environments. This project demonstrates how agentic AI can transform early detection and public health at scale.