VaidyaOS is an AI-powered healthcare intelligence platform featuring Edge AI, multilingual support, offline inference, and on-device medical assistance.
VaidyaOS is my flagship healthcare project. It uses optimized GGUF models to run directly on-device, ensuring patient privacy and zero-latency inference for critical triage workflows. It features multilingual support and integrates seamlessly with local hospital networks.
Problem
Healthcare teams in low-connectivity environments need fast triage support without sending sensitive patient context to a remote model endpoint.
Solution
VaidyaOS combines an offline-first mobile workflow with compact GGUF model inference, local clinical context, multilingual interaction, and a privacy-preserving edge architecture.
Features
Edge AI inference for low-latency clinical assistance
Offline AI workflows for remote or unstable network conditions
Multilingual AI interaction for Indian healthcare settings
Voice-ready assistance for hands-light triage scenarios
Screenshots
VaidyaOS product preview
Architecture
1Mobile client captures symptoms, voice, and structured patient context
