Skip to content
Aabhi.ai
PROJECT 09Agentic AIIn development

Kisan AI

WhatsApp Assistant for Indian Agriculture

WhatsApp-first multilingual AI assistant providing personalized crop diagnostics, weather alerts, and mandi prices for Indian farmers.

WhatsAppNative Channel
MultilingualVoice Support

The Engineering Challenge

Context & Domain

Smallholder farmers in regional India lack real-time personalized agronomic guidance in their native dialects.

Core Problem

Deliver actionable agricultural insights via low-bandwidth WhatsApp interface with voice note support.

Architectural Constraints
  • Regional language nuances (Hindi, Malvi, Marathi)
  • Low-bandwidth image and audio compression

System Architecture

End-to-end data pipelines and component isolation boundaries.

Interactive Component SVG

Twilio/WhatsApp Business webhook pipeline routing audio queries to Whisper multilingual STT, LangGraph agronomy advisor, and regional weather APIs.

Key Engineering Decisions

DECISION 01

Voice-First Multilingual Interaction

Engineered voice note ingestion so non-literate farmers can speak crop symptoms naturally.

Production Verification & Results

  • Currently in active development with field validation trials
  • Prototype processes regional voice queries and returns synthesized audio guidance

Production Stack & Tooling

WhatsApp APILangGraphWhisperFastAPIPython

Want to build something similar?

I specialize in taking complex agentic workflows, duplex voice architectures, and high-throughput computer vision models into production.