Developer Builds Multilingual Telehealth Voice AI for Rural India in 10 Days

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A developer built Arogya Seva, a real-time multilingual voice AI assistant aimed at improving healthcare access in rural and semi-urban India, as part of the VoiceForBharat challenge. The system supports Indian English, Hindi in Devanagari script, and regional languages, targeting users in low-literacy areas who find text-based interfaces difficult to use. Built on the LiveKit Agents SDK, it uses Deepgram Nova-3 for speech recognition and Murf Falcon for voice synthesis, achieving speech response latency under 300 milliseconds. Key safety features include an emergency protocol that flags critical symptoms such as chest pain and directs users to call 108, along with consent-based data collection and mandatory opt-out disclosures. The developer overcame challenges including TTS latency spikes, mixed-script language errors, and agent handoff state loss during the 10-day build.

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