Developer Builds Multilingual Voice Assistant for Indian Local Stores in 10 Days

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A developer built a voice assistant tailored for local Indian grocery and general stores over a 10-day challenge called VoiceForBharat Edition. The assistant uses Deepgram for speech recognition, Google Gemini for language processing, and Murf Falcon for text-to-speech with an Indian English voice. It supports English, Hindi, and Hinglish conversations, and stores returning caller preferences using a SQLite-based memory system. The agent can handle common customer queries such as product availability, pricing, and store timings, while escalating refund or return requests to a specialist. Additional features include outbound phone call support, human handoff capability, safety guardrails, and call analytics.

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