MRI
MRI India Journals Vol. 14 No. 1 (2025)

An Android approach towards Women Safety Application

Authors

  • Ashutosh Chandgude Assistant Professor, Department of Artificial Intelligence & Data Science , Dr.D.Y.Patil College of Engg & Innovation , Varale , Pune
  • Bhagwat Varun Satish U.G.Students, Department of Artificial Intelligence & Data Science , Dr.D.Y.Patil College of Engg & Innovation , Varale , Pune
  • Dange Om Raghunath  U.G.Students, Department of Artificial Intelligence & Data Science , Dr.D.Y.Patil College of Engg & Innovation , Varale , Pune
  • Pawar Gaurav Ambarsing  U.G.Students, Department of Artificial Intelligence & Data Science , Dr.D.Y.Patil College of Engg & Innovation , Varale , Pune
  • Ahire Pratik Kisan U.G.Students, Department of Artificial Intelligence & Data Science , Dr.D.Y.Patil College of Engg & Innovation , Varale , Pune
  • Ahire Harshal Pradip  U.G.Students, Department of Artificial Intelligence & Data Science , Dr.D.Y.Patil College of Engg & Innovation , Varale , Pune

DOI:

https://doi.org/10.65521/ijacte.v14i1.573

Keywords:

Android Studio Kotlin Google Maps API Shake Detection

Abstract

The increasing incidence of crimes against women has highlighted the necessity for real- time safety solutions. This paper presents the design and development of a mobile-based Women Safety Application that enables users to send instant emergency alerts with GPS location to pre- registered contacts. Core features include SMS-based alerting, shake gesture detection using accelerometer sensors, and location tracking via the Fused Location Provider Client. The application is developed using Android Studio with Kotlin/Java, integrated with Firebase for backend services and Google Maps API for geolocation. A Room Database or Shared Preferences is used for local data storage. The UI/UX is designed using tools like Figma, focusing on simplicity and responsiveness. The Waterfall Model guides the project lifecycle, ensuring systematic requirement analysis, modular implementation, and thorough testing. The app supports psychological and medical assistance through helpline integration and offers environmental insights by identifying unsafe zones. It also aids legal processes by collecting digital evidence and enabling direct reporting. This review emphasizes the multidisciplinary relevance of the solution  technologically, legally, medically, and socially  making it a robust tool for enhancing women's safety.

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Published

2025-06-03

How to Cite

Chandgude, A., Satish, B. V., Raghunath ,D.O., Ambarsing ,P.G., Kisan , A. P., & Pradip , A. H. (2025). An Android approach towards Women Safety Application. International Journal on Advanced Computer Theory and Engineering, 14(1), 482–487. https://doi.org/10.65521/ijacte.v14i1.573

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