/PredictiveAgroGuardAI

PredictiveAgroGuard AI harnesses the power of Watsonx.ai and IBM's Granite to revolutionise climate-resilient farming on a global scale.

Primary LanguageJavaScript

Danger Predictions for Farmers

predicts danger for crops and give suggestions to farmers by using crop data and climate details in specific area

Video Demo

Tech Stack

Client: Next.js, TailwindCSS, Shadcn, StackAuth

Server: Next.js API, IBM Watson AI, Granite Model

Database: PostgreSQL (Neon), Drizzle ORM

Run on Local Machine

To deploy this project run:

  • change .env.example to .env.local in root
    NEXT_PUBLIC_STACK_PROJECT_ID=<your-project-id>
    NEXT_PUBLIC_STACK_PUBLISHABLE_CLIENT_KEY=<your-publishable-client-key>
    STACK_SECRET_SERVER_KEY=<your-secret-server-key>
    DRIZZLE_DATABASE_URL=<postgres-db-connection-url>
    NEXT_PUBLIC_IBM_PROJECT_ID=<project-id-from-ibm>
    NEXT_PUBLIC_IBM_MODEL_ID=<model-id-from-ibm>
    NEXT_PUBLIC_API_REQUEST_URL=<api-request-url-from-ibm>
    NEXT_PUBLIC_IBM_API_KEY=<api-key-from-ibm>

  • in drizzle.config.js change process.env.NEXT_PUBLIC_DRIZZLE_DATABASE_URL to your real database url, bcz env variables don't work in this file

  • after that run these commmands in row

  npm i
  npm run db:push
  npm run dev
  • to see and manage DB entries, run this
  npm run db:studio

Congradulations Your Local Setup is Ready