AI Driven Smart Safety and Accident-Avoidance System

This paper addresses the escalating road safety challenges in urban environments like Delhi, where high- speed traffic,poor visibility,and human error contribute to a high incidence of accidents, exacerbated by vehicle emissions and air pollution. We present an AI-Driven Smart Road Safety and AccidentAvoidance System that leverages AI and IoT technologies to offer a cost-effective and scalable solution. The system integrates sensors (LiDAR, smoke sensors) with an ESP32 microcontroller for real-time monitoring of vehicle proximity and air quality. A lightweight Scikit-learn AI model enables proactive collision avoidance through automatic braking, LCD alerts, buzzer warnings, and Blynk notifications, while simultaneously monitoring vehicle emissions. This innovative approach enhances road safety, mitigates pollution, and offers a pathway towards smarter, safer, and greener urban transportation.