CropVision

CropVision is an AI-powered application for crop disease detection and management.

Features

• Image-based Disease Detection: Upload images of your crops to identify diseases
• Detailed Treatment Recommendations: Get specific treatment options for detected diseases
• Multilingual Support: Use the application in multiple languages
• AI-Powered Groq Chatbot: Get intelligent answers to your crop disease questions through an advanced LLM-based chatbot
• History Tracking: View your past disease detections and recommendations

Groq LLM Integration

The chatbot has been upgraded with Groq's powerful Large Language Model capabilities:

• Intelligent responses powered by Groq's state-of-the-art LLMs (llama3-70b and llama3-8b)
• Context-aware conversations about agricultural topics
• Detailed information about crop diseases, symptoms, treatments, and prevention
• Automatic fallback to more reliable models when needed
• Multilingual capabilities with automatic translation

Setup Instructions

Prerequisites

• Python 3.8 or higher
• Node.js 14 or higher
• Clarifai API key
• Supabase account and API key
• Groq API key (required for AI chatbot)

Backend Setup

1. Navigate to the backend directory:

   cd CropVision/backend
   

2. Create a virtual environment:

   python -m venv venv
   

3. Activate the virtual environment:

   • Windows: venv\Scripts\activate
   • Mac/Linux: source venv/bin/activate

4. Install dependencies:

   pip install -r requirements.txt
   

5. Create a .env file based on .env.example and add your API keys:

   CLARIFAI_PAT=your_clarifai_key
   SUPABASE_URL=your_supabase_url
   SUPABASE_KEY=your_supabase_anon_key
   GROQ_API_KEY=your_groq_api_key
   

6. Run the application:

   python app.py
   

Frontend Setup

1. Navigate to the frontend directory:

   cd CropVision/frontend
   

2. Install dependencies:

   npm install
   

3. Create a .env.local file with backend URL:

   NEXT_PUBLIC_BACKEND_URL=http://localhost:5000
   

4. Start the development server:

   npm run dev
   

5. Open your browser and visit http://localhost:3002

Using the Chatbot

1. Click the chat bubble icon in the bottom right corner
2. Type your question about crop diseases or treatments
3. The chatbot will provide a detailed, context-aware response powered by Groq LLM
4. For non-English users, select your preferred language from the dropdown
5. Each response will indicate which model was used (e.g., "Powered by Groq LLM (llama3-70b-8192)")

Acknowledgments

• Built with Flask, React, and Next.js
• Disease classification powered by Clarifai
• Data storage with Supabase
• Chatbot powered by Groq LLM