The Smart Space Habitat Manager is a cutting-edge AI-driven solution designed to autonomously manage life-support systems in space habitats like the International Space Station (ISS), lunar bases, and Mars colonies. This system integrates real-time astronaut health monitoring, machine learning-based predictive maintenance, and statistical anomaly detection to prevent failures before they occur. By leveraging Random Forest regression models for failure prediction and statistical analysis for anomaly detection, it ensures a safe, self-sustaining environment without constant human intervention. Live sensor data tracking oxygen levels, temperature, CO₂ concentration, humidity, and power usage provides instant alerts for potential risks, enabling proactive decision-making. With its automated monitoring, predictive AI models, and real-time anomaly detection, this project represents a crucial step toward the future of sustainable space exploration, ensuring that astronauts remain safe while humanity expands beyond Earth
Category tags:Adeeba Rafi
Asma Zubair
Team member not visible
This profile isn't complete, so fewer people can see it.
Mariam Saad
Tech Diva
Prateek Parija
Eesha Tariq
AI Engineer