AgriLand AI | Smart Land Suitability Finder
- nextjs
- typescript
- tailwindcss
- shadcn-ui
- leaflet
Introduction
Built during a 24-hour hackathon with a small team: an AI platform that helps farmers and investors find the best land for a given crop, by analyzing soil, climate, topography, and water availability instead of relying on guesswork or a local expert's memory.
🌟 Key Features
- Interactive Land Map – search and visualize parcels using Leaflet and Google Maps.
- AI Suitability Scoring – get High/Medium/Low suitability scores for crops like wheat, rice, maize, and vegetables.
- Multi-Factor Analysis – soil pH, NPK levels, texture, climate, topography, and water availability, all factored in.
- Crop Recommendation Engine – suggests the best crops for a given parcel automatically.
- Exportable Reports – download suitability results as PDF or CSV.
🛠 Tech Stack
- Framework: Next.js 14 (App Router), TypeScript
- UI: Tailwind CSS, shadcn/ui
- Maps: Leaflet, Google Maps
⚡ Hackathon Context
Built collaboratively under real time pressure — 24 hours, one team, one shipped demo. Code lives in a teammate's repo, linked above.
Built in a single sleepless night, for farmers who deserve better than guesswork.