🚀 Space Debris Detection & Collision Avoidance AI

AI-powered system for predicting satellite collision risks and supporting intelligent collision avoidance decisions.

Team: VisionX 2.0 Institute: IMS Engineering College Hackathon: Innovate Bharat Hackathon 2026

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🌌 About

Space Debris Detection & Collision Avoidance AI is an AI-based system designed to monitor orbital objects, detect potential collision risks, predict future conjunctions, and provide early warnings with intelligent maneuver recommendations.

The project aims to shift space collision management from a reactive approach to a predictive and proactive approach.

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✨ Key Features

• 🤖 AI-based debris detection
• 📡 Real-time orbital monitoring
• ⚠️ Collision risk analysis & scoring
• 🔮 Orbit / trajectory prediction
• 🚨 Early warning alerts
• 🎲 Monte Carlo simulation
• 🛰️ Collision avoidance recommendations
• ⛽ Fuel-efficient maneuver planning

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🛠️ Tech Stack

AI/ML: Python, TensorFlow / PyTorch, LSTM / GRU, Anomaly Detection Data & Simulation: NumPy, Pandas, SciPy, Monte Carlo Visualization: Matplotlib, Plotly Domain: Orbital Mechanics & Space Traffic Management

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🔄 Workflow

Orbital Data
     ↓
Data Processing
     ↓
Debris Detection
     ↓
Trajectory Prediction
     ↓
Collision Risk Analysis
     ↓
Monte Carlo + AI
     ↓
Early Warning
     ↓
Maneuver Decision Support

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🔭 Future Scope

• Advanced deep-learning debris detection
• Reinforcement learning for maneuver optimization
• Real-time satellite APIs
• Cloud deployment
• Space Traffic Management integration

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👥 Team — VisionX 2.0

• Prashant Kumar — Team Leader
• Pratham Vats
• Divyanshu Keshari
• Priyanshi Gupta
• Priyanka Gupta

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📜 License

This project is licensed under the MIT License.

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⭐ If you find this project interesting, consider giving it a star!

VisionX 2.0 × IMS Engineering College 🚀 PREVIEW OF THE WEBSITE https://v0-orbit-guard-ai-dashboard.vercel.app/ https://orbitguard-ai.figma.site/