Case study · AI for agriculture
AgriMind
A privacy-first, installable farming assistant designed to help farmers identify plant diseases and receive crop advice without creating an account.
01 · Objective
Make crop guidance easier to reach
AgriMind explores a simple question: how can a farmer get useful support for a possible plant disease or crop problem without navigating a complex account system?
The product focuses on a direct path from a farming question to disease-identification support and practical crop advice.
02 · Product choices
Privacy first, low friction
- No login required to use the core experience
- Installable progressive web app
- Offline-friendly product direction
- Plant-disease identification support
- Crop advice in a focused interface
- Public deployment for direct access
03 · Build
An individual end-to-end project
I independently designed, built, and deployed the application. The implementation combines a Next.js product surface, PWA behavior, Vercel deployment, and a plant-disease identification API.
Stack
04 · Recognition
Third Prize at Wochuang
The AgriMind idea received Third Prize as a team result at the Wochuang Jacaranda Cup Youth Entrepreneurship and Innovation Competition in April 2025.
Explore AgriMind
Open the current public deployment and review the farming-assistant experience directly.