QVAC

Emergency

Edgency

On-device emergency-response guidance for civilians and first responders, running fully locally on mobile

ragvisiontranscription
Edgency

Internet connectivity tends to fail exactly when an emergency needs it most. Edgency is a mobile emergency-response assistant that runs entirely on-device: civilians and first responders get step-by-step guidance grounded in WHO and FEMA protocols, with no server call and no API key required once the app is set up.

The right specialist for the emergency

A cardiac, trauma, or general medical emergency routes to MedPsy-1.7B. An earthquake, flood, or storm routes instead to a multimodal Gemma-4 2B that can read photos and video captured at the scene. Either way, a semantic RAG layer pulls the most relevant protocol chunks - 148 of them, indexed across four workspaces - and injects them into the prompt so the response is grounded in an actual guideline, not the model's memory.

model & RAG routing (README.md)
Medical      -> MedPsy 1.7B             -> medical workspace  (68 chunks)
Earthquake   -> Gemma 4 2B Multimodal    -> general workspace  (34 chunks)
Flood/Tsunami-> Gemma 4 2B Multimodal    -> water workspace    (29 chunks)
Storm        -> Gemma 4 2B Multimodal    -> storm workspace    (17 chunks)

One profile, every system prompt

A user's role, experience level, and declared medical conditions are stored on-device and woven into every system prompt, so the same core adapts its guidance to a civilian or a veteran first responder. Voice messages are transcribed on-device with Whisper before reaching the model, and a built-in location tool lets the model give location-aware instructions without any of it leaving the phone.

Demo video

Why the right model gets the right emergency

  • A medical emergency routes to MedPsy-1.7B; an earthquake, flood, or storm routes to multimodal Gemma 4

  • A semantic RAG layer grounds every response in WHO and FEMA protocols, not memorization

  • Voice and photos from the scene are transcribed and analyzed on-device before reaching the model

Build this

Ship your own local AI

One install in JavaScript or Python. 10+ AI tasks. Private, offline and free - on the hardware you already own.