Internet of Things based Accident Detection and Alerting System to Save Lives

More people are killed or injured in vehicle crashes every year. Delay in emergency preparedness is the primary cause of fatalities. The magic hour is the period immediately following a catastrophic event when critical medical and surgical attention raises the likelihood of maintaining a person’s life by one on average. This study aimed to create an Internet of Things (IoT)-based system for classifying and identifying accidents as an outcome. Before sending crucial crisis communications among healthcare personnel, the system can recognize and classifies automotive incidents based on their seriousness. A prompt and accurate assessment of the incident’s extent is essential for enhancing the process approach’s effectiveness and enabling rescue teams to precisely assess the resources needed. The suggested device starts working right away when an emergency status is identified. The application would initiate communication with the proper authorities and provide pertinent and essential information, such as the incident’s location. To decide which machine learning algorithm was the most effective, the built system was also used to compare several types.