Atlas

3D Flight Trajectory Insight with AI-powered conflict resolution

Project Structure

Atlas/
├── client/             # Frontend files
│   ├── datasets/       # Flight data JSON files
│   ├── index.html      # Main HTML page
│   ├── app.js          # Main application logic
│   ├── analytics.js    # Analytics tracking
│   └── client-ml.js    # Client-side ML
├── server/             # Backend files
│   ├── ai-service.js   # AI suggestions API
│   └── serve-client.js # Static file server
├── .env                # Environment variables
└── package.json        # Dependencies

Setup

1. Install dependencies:

npm install

2. Configure your OpenAI API key in .env:

OPENAI_API_KEY=your_key_here

Running the Application

Option 1: Run AI Service Only

npm run start:server

Then open client/index.html directly in your browser or use a simple HTTP server.

Option 2: Run Both Services

Terminal 1 - AI Service (port 3000):

npm run start:server

Terminal 2 - Client Server (port 8080):

npm run start:client

Then open http://localhost:8080

Features

• Increase the time between takeoffs
• Nearby aircraft should maintain different cruising altitudes
• Traffic density in latitude corridors
• Prioritize the postponement of cargo flights over passenger flights

This is synthetic data for hackathon visualization only.