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Space Debris Avoidance & Trajectory Optimization System
This is a submission for the KendoReact Free Components Challenge. What I Built With space becoming increasingly congested, avoiding collisions with orbital debris is a significant challenge. To address this, I developed the Space Debris Avoidance & Trajectory Optimization System—an AI-powered solution that predicts space debris movements, optimizes rocket trajectories, and ensures safe mission planning. Key Features Real-Time Space Debris Tracking: Utilizes TLE data to track and predict debris movement. Reinforcement Learning-Based Trajectory Optimization: Implements Double Deep Q-Learning (DDQL) to dynamically avoid collisions. Interactive 3D Visualization: Provides trajectory insights with an immersive interface. Flask Web Application: Ensures a seamless, user-friendly experience for mission planners. Demo
This is a submission for the KendoReact Free Components Challenge.
What I Built
With space becoming increasingly congested, avoiding collisions with orbital debris is a significant challenge. To address this, I developed the Space Debris Avoidance & Trajectory Optimization System—an AI-powered solution that predicts space debris movements, optimizes rocket trajectories, and ensures safe mission planning.
Key Features
- Real-Time Space Debris Tracking: Utilizes TLE data to track and predict debris movement.
- Reinforcement Learning-Based Trajectory Optimization: Implements Double Deep Q-Learning (DDQL) to dynamically avoid collisions.
- Interactive 3D Visualization: Provides trajectory insights with an immersive interface.
- Flask Web Application: Ensures a seamless, user-friendly experience for mission planners.
Demo
