About this project
Space is entering its busiest era. With thousands of satellites already in orbit and tens of thousands more on the way, collision avoidance can no longer depend on fragmented communication and manual human decisions. A single mistake can create thousands of pieces of debris, triggering cascading collisions that threaten critical infrastructure, global communications, navigation, weather forecasting, and future space missions. VIYAN reimagines how satellites coordinate in space. Instead of simply detecting potential collisions, VIYAN enables autonomous, intelligent decision-making. Using real-time orbital data, our platform predicts future conjunctions, evaluates risk through a hybrid AI engine combining orbital physics with machine learning, and enables AI agents representing different satellite operators to negotiate the safest course of action. Unlike traditional systems that only generate warnings, VIYAN answers the critical question: "What should happen next?" Our platform performs the complete decision pipeline: Predicts future satellite trajectories. Detects potential conjunctions before they become dangerous. Evaluates collision probability using a hybrid physics + AI model. Negotiates between satellites based on mission priority and operational constraints. Recommends the safest maneuver with confidence scores. Explains every decision using Explainable AI (SHAP), ensuring transparency and trust. The result is a platform that transforms collision management from a reactive alerting system into an autonomous coordination ecosystem. Key Innovations 🛰️ Real-time orbital trajectory prediction. 🤖 Hybrid AI risk assessment combining deterministic physics and machine learning. 🤝 Autonomous multi-agent negotiation between satellite operators. 🧠 Explainable AI with transparent reasoning behind every recommendation. 📊 End-to-end decision support with timelines, confidence scores, and maneuver suggestions.
Open Innovation track
Solve any real-world problem with AI, regardless of industry or domain.