Voice-first AI assistant concept designed to break digital literacy barriers for regional users.
Millions of elderly and regional language speakers in rural areas find complex form-based smartphone interfaces intimidating and inaccessible.
Sahayog provides a zero-touch, conversational voice interface that converts speech into structured actions (such as checking crop prices, setting reminders, or filing service queries) in conversational Hindi and Marathi.
Microphone input is captured on the browser via Web Speech API, sent to a FastAPI inference engine that extracts intent with an LLM, and dispatches downstream microservices.
Real-time audio visualization waveform and instant transcript feedback.
Extracts user intent and required parameters (e.g. city, commodity, action).
Fetches real-time commodity rates and public advisories.
Standard ASR models frequently misunderstood regional terminology.
Implemented an acoustic phonetic mapping layer that corrects colloquial phrasing before feeding to the LLM.
Recognized at regional hackathon for social impact and human-centric design
88% task completion rate among first-time non-English speaking testers