SANJAYA
AI farming intelligence for every village — farmers can ask about weather, crop diseases, market prices, and government schemes by voice, in their own language, in seconds.
Voice-first multilingual AI assistant with live weather, market price, and soil health data for smallholder farmers.
Overview
Sanjaya delivers AI farming intelligence for every village, letting farmers speak naturally in Hindi, Nepali, Bengali, or English to get instant answers on weather, crop diseases, market prices, and government schemes.
Problem & Solution
Problem: Smallholder farmers often lack easy, language-accessible access to timely agricultural information — weather risk, disease identification, fair market prices, and scheme eligibility.
Solution: A voice-first AI assistant that answers in the farmer's own language in seconds, backed by a live dashboard of weather, prices, and soil health.
Technical Architecture
Frontend Framework
Next.js architecture powering the dashboard and voice interaction UI.
Voice Layer
Voice-first interaction pipeline supporting multiple regional languages.
AI Integration
AI-driven question answering across weather, disease, price, and scheme domains.
Live Data Feeds
Real-time weather, market price, and soil health data surfaced on the dashboard.
Localization
Multilingual support spanning Hindi, Nepali, Bengali, and English.
Dashboard UI
Live-updating cards for rainfall, crop prices, and soil health scores.
Core Features
- Voice-first Q&A in the farmer's own language
- Live weather, crop price, and soil health dashboard
- Crop disease guidance via natural conversation
- Government scheme lookup and eligibility guidance
- Multilingual support for regional accessibility
Implementation Highlights
- Voice-first design reduces literacy and typing barriers for farmers
- Live AI dashboard combining weather, pricing, and soil metrics in one view
- Language switching built directly into the core experience
- Fast, seconds-level response time for voice queries
Challenge
Making agricultural AI genuinely accessible to farmers who may not read or type comfortably, across multiple regional languages, without sacrificing response accuracy.
Solution
Built a voice-first interaction layer on top of an AI assistant trained across weather, disease, market, and scheme domains, with native support for regional languages.
Future Roadmap
- Expanded language coverage for more regional dialects
- Offline-first mode for low-connectivity rural areas
- Image-based crop disease detection via camera
- SMS/IVR fallback for non-smartphone access
Access Note
Public live demo and repository links are intentionally hidden for this portfolio version.
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