Real Time Accident Detection and Ambulance Rescue using Deep-Learning

Abstract

Traffic accidents pose a significant threat to global safety. A comprehensive approach uses machine learning frameworks, deep learning techniques, and Python modules to reduce casualties and mitigate damage. The system uses Google API location services for precise geolocation tracking and improves accident prediction accuracy. It also enhances ambulance dispatching efficiency by dynamically assigning ambulances based on location and traffic patterns