A Review Paper on Women\'s Safety: A Web Application

Abstract

The safety of women remains a persistent matter of concern, which needs to be addressed through legal, social, and technological interventions on priority. The current study examines three exemplary cases: Nirbhaya (2012), Bhanwari Devi (1992), and Ayesha Meera (2007)—all of them being point cases that impacted legal reforms, media coverage, and policy action. Other than this, this review takes into account existing women\'s safety applications (bSafe, Safetipin, VithU), identifies overall vulnerabilities in safety apps, and introduces an innovative AI-based application, Suraksha, to further ensure women\'s security. Through the combined endeavours of leveraging technological advancements, legislative changes, and social cooperation, an effective mechanism can be developed for enabling women\'s security.

Introduction

Women’s safety is a fundamental human right essential for gender equality and social development. Despite legal and social progress, issues such as sexual harassment, workplace discrimination, and gender-based violence persist. This paper reviews key legal cases that shaped India’s women-safety laws, analyzes existing safety technologies, and proposes an advanced AI-integrated safety application.

Landmark Legal Cases

Major incidents such as the Nirbhaya Case (2012), Bhanwari Devi Case (1992), and Ayesha Meera Case (2007) played critical roles in strengthening India’s legal framework. These cases led to:

• Stricter laws on sexual violence

• Workplace harassment guidelines and legislation

• Greater focus on forensic investigation and institutional safety

They also encouraged technological innovations like mobile safety apps, anonymous reporting systems, and AI-based safety monitoring tools.

Analysis of Safety Applications

Existing apps such as bSafe, Safetipin, and VithU provide features like SOS alerts, live tracking, and safety audits. However, they face limitations including:

• Dependence on internet connectivity

• Battery drain due to GPS

• Limited automation

• Need for user initiation during emergencies

Common Challenges

Connectivity issues, minimal features, high battery consumption, and limited user engagement reduce the effectiveness of current safety apps.

Proposed Solution: Suraksha App

The paper suggests Suraksha, a next-gen women’s safety app featuring:

• Offline SOS alerts via SMS

• AI-based risk prediction using historical safety data

• Wearable device integration for quick distress calls

• Voice and gesture-based emergency triggers for hands-free use

Implementation Plan

The development process includes six phases: research, UI/UX design, technology selection (Flutter/React Native & Node.js/Django), development, security testing, and deployment with user feedback.

Technological Advances

The paper highlights modern safety technologies such as real-time tracking apps, improved workplace surveillance tools, and advanced forensic systems that enhance crime investigation.

Conclusion

Women\'s security requires an effort from multiple sectors to combine technological advances, the legal system, and civil society. Suraksha App is an AI-based, offline-enabled, and wearable-friendly solution to enhance safety. In addition, case law landmarks like Nirbhaya, Bhanwari Devi, and Ayesha Meera highlight the need for legal changes, enhanced security, and active public involvement. With the power of technology, more effective law enforcement, and awareness campaigns, we can move toward a secure and equitable society for women.

References

[1] Criminal Law (Amendment) Act, 2013 [2] Vishaka Guidelines (1997) and Laws Relating to Workplace Harassment [3] National Crime Records Bureau (NCRB) Reports on Gender Crimes [4] Case Studies of Women\'s Safety Technologies [5] Vivekananda Global University Presentation on Women\'s Safety Apps [6] Technological Interventions for Women\'s Security [7] Implementation Strategies for Safety-Based Mobile Applications

Copyright

Copyright © 2025 Vijay Bairwa, Rahul Shit, Tannu Kumari Yadav, Rajeev Kumar Yadav. 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.