Developer Builds AI Voice Emergency Dispatcher for Flood Victims in 10 Days

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A developer built Sentinel, an AI-powered voice emergency dispatcher, in 10 days as part of the VoiceForBharat challenge, inspired by a report of a flood-stranded family unable to access digital emergency resources. The system is designed for disaster scenarios in India where low connectivity, wet screens, and low digital literacy make text-based apps impractical. Sentinel uses a WebRTC audio pipeline combining Deepgram Nova-3 for speech recognition, Google Gemini for real-time reasoning, and Murf's Falcon TTS for near-instant voice responses in English and Hindi. The tool aims to eliminate context loss during emergency escalations by maintaining caller history and household details in a persistent database. It addresses fragmented disaster information by giving distressed callers immediate, verified answers about shelters, rainfall alerts, and relief resources through a simple phone call.

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