Prevention From Road Accidents Due to Drunk Driving Using IOT

Abstract Road accidents caused by drunk driving are one of the major safety issues worldwide. Alcohol consumption reduces driver concentration and reaction time, which increases the chances of accidents. This research paper presents an IoT-based drunk driving prevention system that detects alcohol levels in the driver’s breath and prevents the vehicle from starting if alcohol is detected above the safe limit. The system uses an MQ-3 alcohol sensor, microcontroller, GSM module, and GPS module to monitor the driver condition and send alert messages with vehicle location. The proposed system works automatically without human intervention and improves road safety. The system is low-cost, reliable, and suitable for real-time applications. This solution can be implemented in personal vehicles as well as commercial transportation systems.