When a disaster hits, the first thing that goes down is the ability to ask for help. Cell towers fail, the internet disappears, and the people who need finding fastest are usually unconscious, trapped, or unable to reach a phone screen. We built OmniMesh to close that gap for victims, responders, and command teams at once. An Android phone left face-down and still after a hard impact notices on its own. On-device AI fusion runs continuously: injury classification, an acoustics model tuned for disaster sounds, a bidirectional LSTM reading motion for collapse signatures, multimodal assessment, fused into a confidence-scored decision in under 3 seconds. Detect collapse plus stillness, and it auto-broadcasts a RED packet with GPS. No button, no app opened. Phones form a decentralized Bluetooth mesh: RED-first routing, store-and-forward, hop-by-hop relay, mesh walkie-talkie, holding with zero towers or wifi. Every packet reaches all three roles. The victim gets voice-guided first aid from an AI companion. The responder sees exactly where to go, ranked by real urgency, on a live map. Command sees the incident unfold in real time: casualty estimates, zone assignments, resource recommendations. Underneath sits a multi-agent AI backend on real AMD hardware two ways. Gemma answers locally on our own AMD GPU through ROCm, working offline. Online, a cloud pass through Fireworks AI, also AMD infrastructure, reconciles the answer. A vision agent reads structural damage from photos. A matching agent reunites missing people with whoever found them. Every answer carries a confidence score, and when unsure, it flags the case for a person instead of guessing. Nothing here has a single point of failure. Lose the cloud, the phone still triages with plain medical rules. Lose everyone's internet, two phones five meters apart still find each other and keep the message moving. GitHub: https://github.com/Adya6714/OmniMesh Live demo: https://omnimesh-command.web.app
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