Izzah Khursheed@izzah_khursheed
1
Events attended
1
Submissions made
Pakistan
1 year of experience
About me
I am a dedicated computer science student with a strong foundation in C++,, Python, Data structures and algorithms, problem-solving, and web development basics (HTML & CSS). My academic journey has fueled my curiosity in the tech world, especially in artificial intelligence and machine learning, where I aim to deepen my expertise. I’m passionate about tackling complex challenges and continuously expanding my technical skills. Beyond coding, I bring valuable leadership and financial management skills, enabling me to excel in both collaborative and independent projects. I’m constantly seeking opportunities that challenge me to think creatively, build real-world solutions, and grow both personally and professionally within the tech industry.
🤝 Top Collaborators
🤓 Latest Submissions
AstroCleanAI -- AI-Powered Space Agent
AstroCleanAI is an advanced AI-powered space debris tracking and risk prediction system designed to enhance space safety. With the increasing amount of space junk threatening satellites and future missions, managing debris is more critical than ever. AstroCleanAI leverages artificial intelligence to detect, classify, and predict debris behavior, ensuring proactive collision avoidance and efficient satellite operations. 🛰️ Key Features: Real-Time Space Debris Detection & Classification – Uses deep learning models (YOLOv5, ResNet-50) to analyze satellite imagery and radar data, identifying debris based on size, trajectory, and risk level. AI-Powered Collision Risk Prediction – Implements an XGBoost-based risk assessment model to predict satellite-debris collision probabilities and suggest optimal avoidance maneuvers. Interactive Space Debris Simulation – Visualizes real-world debris movement and potential collision risks using 3D orbital mechanics modeling. Public Engagement Dashboard – Allows researchers, students, and enthusiasts to explore real-time space debris tracking and AI-driven insights. 🛠️ Technology Stack: AI & Machine Learning: TensorFlow, PyTorch, YOLOv5, ResNet-50, XGBoost Space Data & Analysis: NASA’s Open TLE Data, OpenCV for satellite imagery processing Web & Visualization: Streamlit, Matplotlib (3D trajectory simulation), Flask backend 🌍 Impact & Future Scope: AstroCleanAI contributes to sustainable space exploration by mitigating debris-related risks, preventing costly satellite damage, and optimizing space traffic management. Future enhancements may include integrating real-world satellite telemetry, collaborating with space agencies for improved predictions, and developing an autonomous debris mitigation system capable of orchestrating deorbiting maneuvers.
9 Feb 2025
