Smart Road Accident and Fire Detection & Emergency Alert System

This project presents an AI-based smart road accident and fire detection system that monitors live camera feeds and detects critical incidents in real time using the YOLOv8 model. The system is developed with a web-based dashboard using Flask, HTML, CSS, and JavaScript, while Firebase is used for real-time data storage and station management. When an accident or fire is detected, the system automatically identifies the relevant station and sends alerts through SMS, phone call, and email using ESP32 and SIM800L. The proposed solution helps reduce emergency response time, improves road safety, and provides an intelligent automated monitoring system for modern traffic environments.