Guardian
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Project Concept
VozGuard / SilentGuard AI is an intelligent emergency call triage system that receives real-time transcriptions from a conversational voice agent (voice bot) and automatically classifies the content to support human operators in decision-making.
The flow works as follows:
A conversational agent answers phone calls and transcribes the audio in real time.
At the end of (or during) the call, a webhook sends the full payload — transcript, call metadata, caller geolocation, sentiment analysis, classification, and routing — to the /api/webhook/call-transcript endpoint.
The system normalizes the payload, classifies the emergency via AI (domestic violence, medical emergency, fall/accident, missing person, robbery/assault, fire, possible hoax, out of scope), estimates the geographic location from the text, and generates a structured occurrence with risk level, reliability score, detected signals, and recommendations.
The operational cockpit displays in real time: formatted transcript, classification, map with estimated location, nearby support points (hospitals, police stations), immediate risk checklist, event timeline, and suggested action.
An AI copilot (CopilotKit) assists the operator with classification explanations, operational briefings, and actions such as requesting human validation or marking as out of scope.
The system is designed for scenarios where the victim cannot speak freely (silent mode), detecting discreet codes and indirect distress signals. The final decision is always human — AI supports but never dispatches real emergency services.
Stack: Next.js 14, React 18, CopilotKit, SQLite (local persistence), OpenAI (classification), deployed via Docker on EasyPanel.
Entry
Status: Submitted
Last saved: May 16 at 5:34 PM -03
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ALVARO SOUZA DA CRUZ Team Lead RSVP Approved
Analista Precificação Senior at Santander
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