Data Modeling

Mathematical and Computational Data Modeling
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RESEARCH ARTICLE   (Open Access)

SheShield: A Mobile Technology Framework for Reporting and Responding to Eve-Teasing and Domestic Violence Against Women

Abstract 1. Introduction 2. Methods 3. Results 4. Discussion 5. Conclusion ​​​​​​​Author Contribution Acknowledgement Competing Financial Interests References

Shafia Sultana 1*

+ Author Affiliations

Data Modeling 6 (1) 1-12 https://doi.org/10.25163/data.6110854

Submitted: 24 September 2025 Revised: 10 November 2025  Accepted: 20 November 2025  Published: 22 November 2025 


Abstract

Eve-teasing and domestic violence remain persistent, under-addressed threats to women's safety across South Asia — so common, in fact, that they often go unreported simply because existing channels feel slow, exposing, or futile. This paper introduces SheShield, a mobile application designed to narrow that gap between the moment harm occurs and the moment help arrives. Background literature situates the problem within well-documented patterns of harassment prevalence and the structural, gender-based norms that sustain it. Methodologically, SheShield's development followed a staged, user-centered process — problem analysis and requirement gathering, conceptual design, architecture and technology selection, privacy engineering, interface design, and iterative testing — drawing on precedent safety systems and stakeholder consultation across users, law enforcement, and community organizations rather than proceeding from technical assumptions alone. Results indicate a functioning system built on a client-server, microservices architecture, offering incident reporting with media capture, real-time location sharing, panic-button alerts, National ID-linked face recognition, AI-assisted dangerous-area detection, and Bangla-language localization; functional and usability testing suggest the core features perform largely as intended, though adoption and biometric reliability surfaced as recurring concerns. In conclusion, SheShield represents a technically sound, contextually grounded attempt to bridge a well-established safety gap — not a complete solution, but a meaningful step, one whose real value will only become clear through sustained, real-world deployment and independent evaluation rather than through design alone.

Keywords: Eve-teasing; Domestic violence; Women's safety technology; Mobile incident reporting; Gender-based violence intervention

References

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