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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM11972
Volume:
6 |
3 |
Mar 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This project presents the design and development of a real-time women safety application aimed at enhancing personal security and providing immediate assistance in emergency situations. The proposed system has been implemented as an Android application that leverages open-source technologies, ensuring affordability, accessibility, and scalability for widespread use. The system integrates multiple core modules to provide a seamless safety solution. The SOS alert module allows users to send instant emergency notifications to pre-registered contacts along with real-time location tracking. The location tracking service, built using Google Maps API and Firebase, continuously monitors and shares the user’s live position to ensure quick response in critical situations. Additionally, features such as profile management, safety tips, and settings customization enhance personalization and usability. A key highlight of the application is its modular and extensible architecture, which allows integration of additional features like audio recording during distress, nearby police/helpline information, and real-time chat support. The system has been designed with error handling, validation, and UI/UX refinements, ensuring that it remains reliable and user-friendly under real-world conditions. The project prioritizes user empowerment and safety, making it more than just a mobile tool – it is a digital companion capable of bridging the gap between individuals in distress and their trusted networks. The findings demonstrate that a cost-effective, responsive, and scalable women safety app can act as a practical solution to modern safety challenges, while also providing a strong foundation for future enhancements such as AI-based threat detection and wearable device integration.
KEYWORDS
Publication Date
3/8/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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