<?xml version="1.0" encoding="UTF-8"?>
		<www.jsetms.com>
		<Title>AN IOT-BASED INTELLIGENT ACCIDENT DETECTION AND AUTOMATED EMERGENCY RESPONSE FRAMEWORK</Title>
		<Author>Dr K RAJESH , P SPANDANA , B MAHESH</Author>
		<Volume>03</Volume>
		<Issue>07</Issue>
		<Abstract>Road accidents are a major public safety concern and delays in identifying accidents and notifying emergency services can increase the risk of severe injuries and loss of life To address this challenge this paper proposes an IoTEnabled Automated Accident Detection and Reporting Platform that uses Internet of Things IoT technology to detect vehicle accidents and automatically transmit accidentrelated information to designated emergency contacts and response authorities The proposed platform integrates sensors a microcontroller GPS and wireless communication modules to continuously monitor vehicle conditions and identify abnormal events associated with accidents When a potential accident is detected based on predefined sensor thresholds the system processes the collected data determines the vehicles geographical location and generates an accident alert containing relevant information such as GPS coordinates and incident status The alert is transmitted through an available communication network to facilitate faster emergency notification and response The platform aims to reduce manual intervention improve accident reporting efficiency and support timely assistance for accident victims By combining realtime sensing location tracking and automated communication the proposed system provides an effective IoTbased approach to intelligent vehicle safety and emergency management</Abstract>
		<permissions>
<copyright-statement>Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
		</www.jsetms.com>
		