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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68136
Volume:
10 |
10 |
Oct 2026
Pages:
1-6
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.
Computer Science and Engineering
P. R. Pote college of engineering and Management
Computer Science and Engineering
P. R. Pote college of engineering and Management
Computer Science and Engineering
P. R. Pote college of engineering and Management
Computer Science and Engineering
P. R. Pote college of engineering and Management
Computer Science and Engineering
P. R. Pote college of engineering and Management
Computer Science and Engineering
P. R. Pote college of engineering and Management
Women's safety remains a major social issue and calls for smart, prompt emergency response measures. Since most current safety apps depend mainly on manual SOS activation, this may fail in urgent cases in which the victim is unable to ask for help. The paper introduces “VIRA (Vital Incident Response App), an AI-powered predictive women's safety and emergency response system” which is intended to enable proactive threat detection and quick emergency assistance. The system uses Artificial Intelligence to study user behaviour, identify unusual activities, evaluate possible risks, and pick up voice-based distress signals. When an emergency occurs, the platform can automatically send out alerts or let the user initiate an SOS by pressing the button three times. It then immediately sends the user's live location together with audio and video evidence to their trusted contacts and to emergency responders. A cloud-based analytics dashboard allows for the secure storage, monitoring, and analysis of emergency incidents. By combining predictive intelligence, automated emergency alerts, and real-time communication, VIRA seeks to reduce response times, improve situational awareness, and boost personal safety. The proposed platform provides a scalable, software-based solution that helps to promote women's empowerment and aids in the creation of safer communities by means of intelligent technology.
KEYWORDS
This paper presented VIRA, an AI-powered predictive women safety and emergency response platform designed to overcome the limitations of manual-SOS-dependent applications through proactive threat detection, multi-trigger emergency activation, and automated evidence collection. The completed system integrates backend and database architecture, user authentication, emergency contact management, a working SOS trigger pipeline, voice-based distress recognition, live location tracking, audio/video evidence capture, an AI risk assessment engine, real-time notifications, and an incident dashboard using Flutter, Flask, and Firebase. The implemented platform combines artificial intelligence, automation, and real-time communication to reduce emergency response time, enhance situational awareness, and contribute to the broader goal of building safer communities through intelligent technology.
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Publication Date
10/20/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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