An IOT-Based Safety and Tracking System for Women

Abstract - Women's safety remains of paramount importance against the backdrop of rising incidents of harassment and violence. An attempt has been made to develop an IoT-Based Safety and Tracking System for Women, comprising a wearable smart device that is capable of detecting distress and sending emergency alerts automatically. It comprises sensors, namely heartbeat, inclinometer, microphone, and biometric modules, that detect abnormalities in physiological or movement patterns indicating threat situations. GPS and GSM/Wi-Fi modules enable location tracking in real time and wirelessly send alerts to emergency contacts or authorities instantly. A panic button, buzzer, and shock mechanism provide instant self-defense and draw public attention. Machine learning–based anomaly detection ensures that the proposed system achieves higher accuracy in recognizing threats. The device is small in size and power-efficient, intended for everyday wearable use, thus ensuring speedy assistance even when one is in a situation whereby manual handling of the mobile phone is not possible. This type of wearable device provides an active, trustworthy, and hands-free safety solution by empowering women and quickening the pace of emergency response. Key Words: IoT, Women Safety, Smart Wearable Device, GPS Tracking, GSM Module, Emergency Alert System, Machine Learning, Sensors, Distress Detection, Real-Time Monitoring.