HELM SENTRY Evaluation of Vehicle Self-Repairing System

The real-time vehicle health monitoring system presented in this study is intended to discover and detect automobile actuator and sensor issues. To assess the bike's health, the system keeps an eye on internal variables including gasoline level, engine temperature, and carbon monoxide (CO) levels. The primary objective is to develop an IoT-based embedded system that can provide reliable information about the vehicle's condition, enabling timely maintenance and reducing the risk of accidents. The system is capable of detecting faults with minimal latency, even in the presence of disturbances and uncertainties. The proposed system enhances vehicle safety, reliability, and performance by providing predictive maintenance alerts and optimizing vehicle performance parameters.