Women’s Safety App: Real-Time Emergency Smart Response through Shake Detection and Automated Alerts
Women's safety remains a significant global challenge, with nearly 35% of women experiencing some form of violence during their lifetime. Despite the availability of mobile safety solutions, many fail to provide the responsiveness and ease of use required in real-life emergencies. These limitations hinder their effectiveness in ensuring timely intervention and support when it is needed the most. This paper introduces an innovative Android application designed to offer a reliable and swift response system for women facing potentially dangerous situations. By leveraging shake detection technology, the app can be activated discreetly and effortlessly without requiring the user to unlock or interact with their device actively. Once triggered, the application automatically initiates emergency calls to pre-selected contacts and sends SMS alerts with the user’s real-time location and a predefined distress message. With a response time of under 5 seconds, the app facilitates prompt assistance, which can be life-saving in critical moments. The solution is particularly useful in scenarios such as late-night travel, isolated areas, or situations where verbal communication is not feasible. Its background monitoring functionality ensures continuous protection without interfering with daily activities, while its simple interface allows for quick activation, even under stress. These features address key challenges such as delayed response times, complicated user interfaces, and inadequate location-sharing capabilities that have plagued existing solutions. This application aims to empower women by providing them with a dependable and accessible safety tool, fostering confidence and peace of mind in their daily lives. Through its practical features and real-world applicability, this solution represents a significant step forward in tackling the persistent issue of women's safety.
Authors
- Shaik Sajid
- R Sneha
- Kailasam Selvaraj (ORCID: https://orcid.org/0000-0001-8408-8780)
- P Abishek
- J. Nulyn Punitha Markavathi
- J Jerish
Institutions
- Kalasalingam Academy of Research and Education (IN)
Publication Details
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1109/iciccs65191.2025.10984658
- Primary Topic
- IoT and GPS-based Vehicle Safety Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00