AI World Tracker

An AI-assisted geospatial tracking dashboard that visualizes satellites, ISS, Starlink, military satellites, aircraft, and live public cameras on a 3D globe using Cesium.

Why I built this

I wanted to explore how AI-assisted development can accelerate the creation of a real, interactive intelligence-style dashboard that combines public orbital, aviation, and webcam data into one experience.

This project was inspired by the idea of a “spy satellite simulator,” but implemented as my own hands-on engineering build using public APIs and a custom Cesium-based frontend.

Features

• 3D globe visualization using Cesium
• Active satellite tracking from CelesTrak
• Dedicated ISS, Starlink, and military satellite layers
• Orbit path rendering
• Satellite footprints and coverage cones
• Live aircraft layer using OpenSky
• Military/government aircraft heuristic tagging
• Aircraft track trail loading
• Public live camera/webcam integration using Windy
• Region filters: India, Asia, Europe, World
• Search, layer toggles, labels, object selection, media panel

Tech Stack

• Node.js
• Express
• JavaScript
• CesiumJS
• satellite.js
• Axios
• dotenv

APIs / Data Sources

• Cesium Ion
• CelesTrak
• OpenSky Network
• Windy Webcams API

AI-assisted development

This project was built with AI-assisted development using ChatGPT for:

• architecture ideation
• feature scoping
• code generation
• debugging support
• refactoring help
• UI/UX iteration

I used AI as a development accelerator, while validating integrations, refining behavior, and shaping the final product direction myself.

Screenshots

Local Setup

git clone https://github.com/CapSubham/ai-world-tracker
cd ai-world-tracker
npm install

Create a .env file in the root directory:

• WINDY_API_KEY=
• OPENSKY_CLIENT_ID=
• OPENSKY_CLIENT_SECRET=
• CESIUM_ION_TOKEN=
• PORT=3000

Run the application:

npm start

Open in browser:

http://localhost:3000

Author

Subham Dubey