REAL-TIME PATH CORRECTION FOR OBSTACLE-FREE MOVEMENT AND AERO ALERT

This paper presents a real-time path correction mechanism for obstacle-free movement integrated with an AeroAlert system for gas leakage detection. The proposed system uses machine learning (ML) algorithms to improveits performance. decision trees for path classification, and sensor fusion techniques to improve obstacledetection and environmental adaptability. The integration of an MQ5 gas sensor enhances safety by triggeringalerts upon gas leakage detection. The experiments show that the system accurately detects obstacles andnavigates efficiently in real-time.