Automated Impulsive Crash Alert System Using ML Algorithms

Road accidents are a major global source of death, and they can have serious repercussions when emergency response times are delayed. In order to minimize reaction time and perhaps save lives, an Automated Impulsive Crash Alert System that uses Machine Learning (ML) seeks to identify car wrecks in real-time and quickly alert emergency personnel. To precisely identify crash events, the system makes use of sensor data, accelerometer measurements, and picture processing methods. The system can distinguish between typical driving circumstances and accident situations by utilizing machine learning techniques, resulting in fewer false alerts