Developer Builds Multilingual Telehealth Voice AI for Rural India in 10 Days
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 with low literacy or limited tech familiarity who find typing-based interfaces difficult. 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 like chest pain and directs callers to dial 108, along with strict consent-based data collection. The developer overcame technical hurdles including TTS latency spikes, incorrect script mixing in multilingual responses, and agent handoff state management during specialist transfers.
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