Women Security with SMS Alert Based Code Word - Android App

Abstract

The increasing number of harassment and assault incidents in public and private environments has intensified the demand for reliable and technology-driven women safety solutions .Traditional safety applications primarily rely on manual activation methods such as panic buttons or emergency calling features, which may not be practical during situations involving panic, fear, or physical restriction .These limitations highlight the necessity for a more responsive and hands-free emergency assistance mechanism.To address these challenges, this paper proposes a voice-activated women safety system that utilizes a predefined emergency code word for automatic threat detection .The proposed model continuously monitors ambient audio input and detects the emergency trigger phrase using a voice recognition module .Upon successful detection, the system immediately retrieves the user\'s real-time location through Global Positioning System (GPS) services and generates an automated alert message containing location coordinates and emergency information.The alert is transmitted to pre-registered emergency contacts, including trusted individuals and nearby authorities, ensuring rapid communication and assistance .By integrating voice-based activation, real-time location tracking, and automated alert messaging, the system eliminates the need for manual interaction and significantly reduces response time .Furthermore, the architecture is designed to be scalable and adaptable for future integration with IoT-enabled wearable devices and smart monitoring systems .Experimental evaluation indicates that the proposed framework enhances accessibility, improves emergency response efficiency, and provides a more reliable and discreet safety mechanism compared to conventional women safety applications

Introduction

The rapid growth of urbanization and digital connectivity has increased safety risks for women, including harassment and violence. Traditional safety systems such as helpline numbers, emergency calls, and mobile safety apps mainly rely on manual activation, which may not be effective during emergencies when victims experience panic or physical restriction. These limitations create a need for faster and more automated safety solutions.

The proposed system introduces a voice-activated women safety mechanism that allows users to trigger emergency alerts using a predefined code word. The system continuously listens for voice input through the device microphone. When the code word is detected using voice recognition technology, the system automatically retrieves the user’s GPS location and sends an alert message with location details to registered emergency contacts via SMS or internet services.

The methodology involves registering trusted contacts, defining an emergency code word, continuous background audio monitoring, voice recognition for trigger detection, automatic GPS location retrieval, and sending emergency alerts. The system continues monitoring until the emergency is resolved.

Testing results show that the system detects the emergency code word with high accuracy and sends alerts within seconds, significantly reducing response time compared to traditional panic-button applications. The system also ensures data security, protects user privacy, and operates on standard smartphones without requiring additional hardware.

Conclusion

The proposed Women Safety System based on voice-activated emergency code word detection provides a reliable, automated, and rapid emergency response mechanism[1].Unlike traditional safety applications that depend on manual interaction such as pressing an SOS button, the proposed system operates through a hands-free voice trigger, making it highly effective during panic situations or physical restriction[2]. By integrating voice recognition technology with real-time GPS location tracking and automated alert messaging, the system significantly reduces response time and enhances accessibility during critical events[3].The experimental evaluation confirms that the automated workflow improves efficiency, reliability, and user convenience when compared to conventional safety applications[4].

References

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Copyright

Copyright © 2026 Charumathi M, Dr. K. Banuroopa. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.