🛰️ Space Debris Risk Assessment System

📊 Understanding Risk Scores

What the percentages mean:

• 70-100%: High Risk - Imminent reentry threat requiring immediate attention
• 40-69%: Medium Risk - Elevated threat level, monitor closely
• 0-39%: Low Risk - Stable orbit with distant reentry timeline

Risk scores combine orbital decay rate, altitude trends, atmospheric density effects, solar activity impact, and collision probability to assess reentry likelihood within 30 days.

🤖 Hybrid AI Risk Assessment

Our AI models work together to provide accurate predictions:

• Physics-Based SGP4: Calculates precise orbital mechanics and atmospheric drag
• Random Forest: Analyzes historical debris patterns and decay rates
• Gradient Boosting: Optimizes predictions using ensemble learning
• Neural Network: Captures complex non-linear orbital interactions

Trained on 5,000+ satellite samples with real orbital data, our hybrid approach combines the reliability of physics with the adaptability of machine learning.

🤖 Hybrid AI Prediction

Combines SGP4 physics-based propagation with ensemble machine learning models (Random Forest, Gradient Boosting, Neural Networks) for accurate orbital decay prediction.

⚠️ Advanced Risk Assessment

Comprehensive reentry risk analysis including spatial coverage, timing uncertainty, threat categorization, and priority scoring for mission-critical decisions.

📊 Real-time Data Processing

Optimized TLE data parsing with caching, batch processing, and concurrent analysis of multiple satellites with comprehensive error handling.

🏗️ Professional Architecture

Production-ready modular Flask application with app factory pattern, environment-specific configuration, and separated concerns for maintainability.