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🛰️ SAT-VEX — Satellite Tracking & Footprint Prediction System

SAT-VEX is an advanced satellite tracking and visualization system developed as an individual project.
The project focuses on real-time satellite position estimation, orbit propagation using TLE data, and ground footprint prediction, with enhancements using machine learning–based correction models.

This project originated as Module 1 of a Smart India Hackathon (SIH) 2025 winning solution, and has been independently extended and maintained.


🚀 Project Overview

SAT-VEX is designed to:

  • Track satellites in real time on a 3D globe
  • Predict future satellite positions using orbital mechanics
  • Improve orbital accuracy using ML-based correction models
  • Estimate satellite ground footprints for coverage analysis

The system targets applications in Space Situational Awareness (SSA), satellite monitoring, and space-tech research.


🧠 Key Features

  • 🌍 3D Satellite Visualization

    • Interactive 3D Earth powered by CesiumJS
    • Real-time satellite position and orbital path rendering
  • 📡 TLE-Based Orbit Propagation

    • Uses standard Two-Line Element (TLE) data
    • Compatible with NORAD satellite catalogs
    • Time-based forward and backward propagation
  • 🤖 Machine Learning–Assisted Correction

    • Reduces positional drift in classical SGP4 predictions
    • Improves long-term accuracy through learned corrections
  • 📐 Ground Footprint Prediction

    • Estimates satellite ground coverage area
    • Useful for communication, imaging, and surveillance analysis
  • ⏱️ Time-Aware Tracking

    • Query satellite position at any timestamp
    • Supports future position prediction

🏗️ Tech Stack

Layer Technology
Frontend CesiumJS, JavaScript, HTML, CSS
Backend Python (API-based architecture)
Orbit Mechanics TLE + SGP4
Machine Learning Python (correction & prediction models)
Visualization Cesium 3D Globe

🧩 Project Scope

Satellite Tracking & Footprint Prediction

This project focuses on:

  • Accurate satellite position estimation
  • ML-assisted orbit correction
  • Satellite ground footprint computation and visualization

👤 Author

Deepak Singh
B.Tech Computer Science Engineering
Full-Stack & AI Developer


🏆 Background (Smart India Hackathon 2025)

  • Event: Smart India Hackathon (SIH) 2025
  • Problem Statement: Prediction of satellite tracking along with space weather activity forecasting (CME & geomagnetic storms)
  • Achievement: 🥇 Winning solution contributor

SAT-VEX represents the satellite-tracking and visualization module of the original SIH solution, now evolved as an independent project.


🔮 Future Scope

  • Multi-satellite tracking & constellation visualization
  • Collision avoidance and proximity alerts
  • Integration with real-time SSA data sources
  • Defense, disaster-management, and civilian applications
  • Unified Web + Mobile platform

📜 License

This project is independently maintained by Deepak Singh.
Originally developed during Smart India Hackathon 2025.

© 2025 — All rights reserved.


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