Smart Mushroom AI - Intelligent Mushroom Farming System

An AI-powered web application for mushroom farmers to analyze mushroom growth stages, track farming analytics, and receive environment recommendations for optimal cultivation conditions.

Features

Core Features:

• User Authentication - Secure login/register with JWT token-based auth
• AI Image Analysis - Analyze mushroom images to determine growth stage (Immature/Mature/Harvest Ready)
• Analytics Dashboard - Track analysis history with statistics (total analyses, harvest-ready count, immature count, average confidence)
• Data Persistence - All user data stored in Supabase PostgreSQL
• Environment Recommendations - Temperature & humidity guidelines by growth stage
• Responsive Design - Works seamlessly on desktop, tablet, and mobile devices
• Dark Theme UI - Eye-friendly interface with green accents

Project Structure

mushroom-prediction/

• backend/ - Flask REST API
  • app.py, config.py, extensions.py
  • routes/ - auth_routes.py, predict_routes.py
  • services/ - supabase_service.py, ml_service.py, cloudinary_service.py
  • utils/ - helper.py
  • uploads/ - temporary file storage
• frontend/ - React + Vite SPA
  • src/
    • App.jsx, main.jsx
    • pages/ - LandingPage.jsx, LoginPage.jsx, Dashboard.jsx, EnvironmentRecommendation.jsx
    • services/ - api.js
  • package.json, vite.config.js, index.html
• ml_model/ - PyTorch ML Model
  • main.py, data_split.py
  • models/ - trained model files

Quick Start

Prerequisites:

• Python 3.8+ (for backend)
• Node.js 16+ (for frontend)
• Git

Backend Setup:

1. Navigate to backend directory
2. Create and activate virtual environment
3. Install dependencies (pip install -r requirements.txt)
4. Configure environment variables in .env file
5. Run backend server (python app.py)
6. Server runs on http://localhost:5000

Frontend Setup:

1. Navigate to frontend directory
2. Install dependencies (npm install)
3. Run development server (npm run dev)
4. App opens at http://localhost:5173

Environment Variables

Backend requires:

• SUPABASE_URL - Supabase project URL
• SUPABASE_KEY - Supabase API key
• CLOUDINARY_CLOUD_NAME - Cloudinary cloud name
• CLOUDINARY_API_KEY - Cloudinary API key
• CLOUDINARY_API_SECRET - Cloudinary API secret