Developer Builds Multilingual Voice Health Assistant for Underserved Communities in India

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A developer built Sehat Sathi, a Hindi-English voice assistant designed to help people in smaller Indian towns access basic health guidance without needing smartphones or English proficiency. The project was completed over 10 days as part of the VoiceForBharat Edition challenge run by Murf AI. The system uses Deepgram for speech recognition, Google Gemini as its reasoning engine, and Murf Falcon's Anisha voice for low-latency, natural-sounding Indian English responses, all connected via LiveKit for real-time audio. Sehat Sathi can identify nearby government hospitals by district, remember returning callers with their consent, and escalate serious symptoms to human support — while explicitly refusing to diagnose conditions or recommend specific medicines. The assistant is designed to give honest, safe guidance on whether a caller should rest at home or seek in-person care, and defaults to directing users to local health workers or emergency services when its own data falls short.

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