V3I6P55

A Smart Mobile Application for Woman Safety (TruBand)

Dipika Gour^1*, Neha Tiwari², Himanshu Ranjan³

Abstract

Women’s safety remains a significant social challenge in India despite the availability of various safety applications and emergency support systems. Most existing solutions depend on manual activation, which may not be practical during panic situations. This paper presents TruBand, a Smart Mobile Application for Women Safety developed as a Progressive Web Application (PWA) using Next.js. The system automatically detects emergencies through accelerometer-based shake detection and voice-based distress recognition. Upon detecting danger, the application shares live GPS location with emergency contacts and triggers SMS alerts using Twilio services when internet connectivity is unavailable. The proposed solution emphasizes automation, privacy, low battery consumption, and reliable emergency communication. Experimental results demonstrate high detection accuracy, efficient battery usage, and dependable alert delivery in real-world scenarios.

Keywords:

Women Safety, Progressive Web Application, GPS Tracking, Emergency Alert System, Voice Recognition, Shake Detection, Next.js