• Nikeeta
• Suhani Singh
• A.S. Susanna Grace
• Usha Dhankar

The radical growth in Low Earth Orbit (LEO) satellite constellations has elevated distress encircling orbital debris management, collision threat, and long-term space viability. The present tracking systems are primarily reactive, frequently providing limited predictive precision and slowed mitigation possibility. This research paper presents DEB-X (Debris eXterminator), a layered and AI-powered model developed for debris detection, collision probability evaluation, and proactive mitigation. This model includes live Two-Line Element (TLE) datasets, and space weather parameters such as solar flux and geomagnetic indices, also utilises drag modelling to forecast orbital decay and trajectory movements. Through multi-phase development, DEB-X combines AI-based forecasting, Monte Carlo simulations, and conjunction analysis to group high-risk encounters and generate △v (change in velocity)-based movement strategies optimised for fuel efficiency. The architecture further adds explainable AI (XAI) layers to improve operator trust, and provides automated datasets, user-friendly dashboards and visualisation tools for optimised situational awareness. Verification demonstrates (greater than) >92% accuracy in collision prediction with notable reductions in response delay. By merging physics-based models with intelligent prediction, DEB-X improves the state of Space Situational Awareness (SSA) and provides scalable solutions for global mega-constellations, while aiding future human spaceflight programmes such as ISRO’s planned Gaganyaan mission.

Orbital Debris, Collision Prediction, Space Situational Awareness, Machine-Learning Forecasting, Low Earth Orbit.

"INTELLIGENT PLATFORM FOR ORBITAL DEBRIS TRACKING, COLLISION AVOIDANCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.h54-h59, November-2025, Available :http://www.jetir.org/papers/JETIR2511718.pdf

"INTELLIGENT PLATFORM FOR ORBITAL DEBRIS TRACKING, COLLISION AVOIDANCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. pph54-h59, November-2025, Available at : http://www.jetir.org/papers/JETIR2511718.pdf