AgriSahayak - AI Farming Assistant
Empowering Pakistani Farmers with AI
Multi-agent AI system for Pakistani farmers combining instant crop disease diagnosis via Gemini Vision, localized treatment plans, real-time supplier marketplace (50km radius), weather-based recommendations, and bilingual Urdu/English support. Built with Firebase Genkit, Next.js, and 6 specialized AI agents. Won Innovista Agentic AI Hackathon.
Why it mattered
Small farmers need fast crop disease diagnosis, localized treatment, and supplier guidance, but expert help can take days to reach them.
What shipped
A multi-agent farming assistant that accepts crop images, diagnoses likely disease, explains treatment in simple language, and connects the farmer to nearby support.
Proof signal
Designed around a projected 60% crop-loss reduction target; diagnosis workflow demonstrated through WhatsApp
System flow
Image upload enters a vision agent, the diagnosis is passed into a treatment planner, weather and supplier context are layered in, and the response is returned through a farmer-friendly interface.
Honest maturity snapshot
Manual questions, scattered context, and slow follow-up.
An agent workflow that routes intent, calls tools, and returns useful next actions.
Features
- Gemini Vision diagnosis for crop leaf images.
- Localized treatment plan with practical next actions.
- Bilingual Urdu/English communication flow.
- Supplier discovery designed around a local radius.
- Weather-aware recommendation layer.
- Hackathon-ready demo flow with clear farmer value.
Engineering challenges
- Balancing confident diagnosis with safe uncertainty language.
- Keeping the UX simple for users who may not be technical.
- Turning a broad agricultural problem into a focused hackathon MVP.
Results
- Won Innovista Agentic AI Hackathon.
- Projected crop loss reduction story made the business value easy to understand.
- Became the strongest flagship case study for agentic AI plus social impact.
What I learned
- Tradeoff learned: Balancing confident diagnosis with safe uncertainty language.
- Proof learned: Won Innovista Agentic AI Hackathon.
- Next iteration: Add agronomist review workflow for high-risk diagnoses.