Smart Soil Analysis and Crop Recommendation System — agri-tech dashboard for soil analysis and crop recommendations (Next.js, OpenAI, Supabase/Drizzle).

Environment variables

Copy .env.example to .env.local and set:

• DATABASE_URL — Postgres connection string (e.g. Supabase)
• OPENAI_API_KEY — OpenAI API key for soil analysis

Do not commit .env.local or expose keys.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

Learn More

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.