🌾 AgroPredict AgroPredict is a smart, web-based solution aimed at helping farmers and agricultural planners make informed decisions through predictive analytics and a clean user interface. This app likely includes components for predicting crop performance, monitoring agricultural inputs, and providing tailored suggestions using machine learning and modern UI technologies like Tailwind CSS.
AgroPredict-main/
│ ├── AgroPredict/
│ ├── main.py # Main Python backend script
│ ├── static/
│ │ ├── css/main.css # TailwindCSS processed styles
│ │ ├── js/script.js # JavaScript for frontend interactivity
│ ├── templates/
│ │ └── index.html # HTML page served to users
│
├── static/
│ ├── css/main.css # Shared/global styles
│ ├── js/script.js # Shared/global JavaScript
│
├── package.json # Node.js dependencies
├── package-lock.json # Dependency lock file
├── postcss.config.js # PostCSS configuration for Tailwind
├── tailwind.config.js # Tailwind CSS config
⚙️ Technologies Used

• Python (likely with Flask or FastAPI as backend)

• Tailwind CSS for UI styling

• JavaScript for frontend logic
  🚀 Getting Started
  

1. 📦 Install Python Dependencies
   Ensure you're using Python 3.8+. Install necessary backend packages (e.g., Flask, if main.py uses it):
2. 💅 Setup Tailwind CSS (Node.js required)
   Install frontend packages:
3. 🧠 Run the App
   PostCSS & Node.js for CSS processing