🌤️ Aviation Weather Dashboard

A real-time aviation weather dashboard with AI-powered weather summaries and user-friendly METAR decoding.

🚀 Quick Start

1. Start the Backend

node server.js

2. Open the Frontend

Open index.html in your web browser.

3. Enter Flight Route

Enter ICAO codes separated by commas (e.g., KJFK,EGLL,LFPG,EDDF)

📁 Project Structure

TeamDeployed/
├── server.js          # Node.js backend server
├── package.json       # Dependencies and scripts
├── index.html         # Frontend dashboard
├── script.js          # Frontend JavaScript
├── style.css          # Frontend styling
└── node_modules/      # Dependencies

🎯 Features

• Real-time Weather Data - METAR, TAF, PIREP, SIGMET
• AI-Powered Summaries - OpenAI GPT-4o-mini integration
• User-Friendly METAR Decoder - Plain English weather descriptions
• Interactive Dashboard - Visual flight route analysis
• Response Caching - High performance with 5-minute TTL
• Error Handling - Graceful fallbacks and user feedback

🔧 API Endpoints

• GET /health - Server health check
• POST /aviation/summary - AI weather summary
• GET /weather/:icao - Weather data for airport
• GET /data/stationinfo?station=... - Airport information
• GET /data/metar?station=... - Decoded METAR data
• GET /route/stations/:route - Multi-airport data
• GET /search?query=... - Weather data search

🌐 Frontend Integration

The dashboard automatically connects to the backend running on http://localhost:8000.

📊 Dashboard Widgets

• Current Weather - Decoded METAR with user-friendly descriptions
• Visibility - Real-time visibility conditions
• Weather Score - Comprehensive weather analysis
• Wind Conditions - Wind speed, direction, and gusts
• TFR/Restricted Areas - Temporary flight restrictions

🚀 Production Ready

• High Performance - Response caching and optimized API calls
• Robust Error Handling - Graceful degradation and user feedback
• Input Validation - Security and data quality
• Monitoring - Request logging and performance metrics

🎉 Ready to Use!

The aviation weather dashboard is now clean, optimized, and ready for production use! 🌤️✈️