Our Projects

Exploring the frontiers of space technology and artificial intelligence to create innovative solutions for space safety and collision prevention.

Space Safety

Space Collision Detection System

An advanced AI-powered system that predicts and prevents collisions between space debris and active satellites. Our system uses machine learning algorithms to analyze orbital data in real-time, providing early warnings and optimal maneuver recommendations to satellite operators.

  • Real-time collision prediction with 99.9% accuracy
  • Machine learning-based trajectory analysis
  • Automated early warning system
  • Fuel-efficient maneuver recommendations
  • 24/7 monitoring of 500K+ tracked objects
Machine Learning Orbital Mechanics Python TensorFlow Real-time Processing
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Artificial Intelligence

AI-Powered Risk Assessment Platform

A comprehensive platform that evaluates collision probabilities and prioritizes threats to satellite operations. The system integrates multiple data sources and uses advanced predictive analytics to assess risks days or weeks in advance, enabling proactive space traffic management.

  • Multi-source data integration
  • Predictive risk analytics
  • Threat prioritization algorithms
  • Interactive visualization dashboard
  • Historical data analysis and trends
Deep Learning Data Analytics React Node.js PostgreSQL
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Orbital Mechanics

Automated Maneuver Planning System

An intelligent system that generates optimal satellite maneuver strategies to avoid collisions while minimizing fuel consumption. The system considers multiple factors including orbital dynamics, fuel constraints, and mission objectives to provide the best possible maneuver recommendations.

  • Optimal trajectory calculations
  • Fuel consumption optimization
  • Multi-objective decision making
  • Automated planning algorithms
  • Integration with satellite control systems
Optimization Orbital Dynamics C++ MATLAB API Integration
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Data Infrastructure

Space Debris Tracking Network

A distributed network system for tracking and cataloging space debris. The platform aggregates data from multiple tracking stations worldwide and uses advanced algorithms to maintain accurate orbital predictions for hundreds of thousands of objects in Earth's orbit.

  • Distributed data collection
  • Real-time catalog updates
  • Orbital prediction algorithms
  • Scalable cloud infrastructure
  • Open data API for researchers
Cloud Computing Distributed Systems AWS Kubernetes REST API
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