Site Analysis Platform

A comprehensive web application for environmental site analysis providing vegetation, terrain, and climate data visualization.

Project Structure

site-analysis-project/
├── frontend/                 # Next.js React frontend
├── backend/                  # Django REST API backend
├── .github/                  # GitHub Actions workflows
├── docs/                     # Documentation
└── README.md                 # This file

Quick Start

Prerequisites

• Node.js 18+
• Python 3.9+
• PostgreSQL with PostGIS extension

Frontend Setup

cd frontend
npm install
npm run dev

Backend Setup

cd backend
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt
python manage.py migrate
python manage.py runserver

Features

• 🗺️ Interactive Map Integration - Site location visualization
• 🌱 Vegetation Analysis - Automated vegetation and terrain data retrieval
• 🌤️ Climate Conditions - Temperature, humidity, and weather data
• 📊 Data Visualization - Interactive charts and reports
• 📱 Responsive Design - Mobile-first approach
• 🔐 Secure API - Django REST Framework with authentication

Tech Stack

Frontend

• Framework: Next.js 15.4.2
• UI Library: React 19.1.0
• Styling: Tailwind CSS 4.1.11
• State Management: React Hooks
• Build Tool: Webpack (via Next.js)

Backend

• Framework: Django 5.2.3
• API: Django REST Framework
• Database: PostgreSQL with PostGIS
• Geospatial: GeoDjango
• Environment: Python 3.9+

API Endpoints

• GET /api/site-analysis/ - Retrieve site analysis data
• POST /api/climate-data/ - Get climate information
• POST /api/vegetation-analysis/ - Analyze vegetation data
• GET /api/health/ - Health check endpoint

Development

Running Tests

# Frontend
cd frontend && npm test

# Backend
cd backend && python manage.py test

Code Quality

# Frontend linting
cd frontend && npm run lint

# Backend formatting
cd backend && black . && isort .

Deployment

See individual README files in frontend/ and backend/ directories for deployment instructions.

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For questions and support, please open an issue on GitHub.