Crop Disease Detection Application

This application detects crop diseases from images and provides information and remedies through an AI-powered chatbot.

Features

• Plant disease detection using Clarifai AI
• Interactive chatbot for disease information
• Multilingual support
• Text-to-speech capabilities
• History tracking of predictions

Setup

Backend

1. Navigate to the backend directory:

   cd backend
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Set up environment variables by creating a .env file with:

   CLARIFAI_PAT=your_clarifai_pat
   SUPABASE_URL=your_supabase_url
   SUPABASE_KEY=your_supabase_key
   GOOGLE_API_KEY=your_google_api_key  # Optional, for text-to-speech
   

4. Run the backend server:

   python app.py
   

Frontend

1. Navigate to the frontend directory:

   cd frontend
   

2. Install dependencies:

   npm install
   

3. Run the development server:

   npm run dev
   

4. Access the application at http://localhost:3000

API Endpoints

• /predict - Upload an image for disease detection
• /history - Get prediction history
• /chatbot - Interact with the AI chatbot

Technologies

• Backend: Flask, Clarifai API, NLTK, Google Cloud Text-to-Speech
• Frontend: Next.js, React, Tailwind CSS