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AURA: An AI-Driven Mobile Safety Application for Wom-en with Real-Time Monitoring and Legal Assistance

by Jasleen Kaur Matharoo, Arhasi Soni, Shaik Tanveer Hussain, Baidyanath Ram, Poonam Mishra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 25
Year of Publication: 2025
Authors: Jasleen Kaur Matharoo, Arhasi Soni, Shaik Tanveer Hussain, Baidyanath Ram, Poonam Mishra
10.5120/ijca2025925420

Jasleen Kaur Matharoo, Arhasi Soni, Shaik Tanveer Hussain, Baidyanath Ram, Poonam Mishra . AURA: An AI-Driven Mobile Safety Application for Wom-en with Real-Time Monitoring and Legal Assistance. International Journal of Computer Applications. 187, 25 ( Jul 2025), 15-19. DOI=10.5120/ijca2025925420

@article{ 10.5120/ijca2025925420,
author = { Jasleen Kaur Matharoo, Arhasi Soni, Shaik Tanveer Hussain, Baidyanath Ram, Poonam Mishra },
title = { AURA: An AI-Driven Mobile Safety Application for Wom-en with Real-Time Monitoring and Legal Assistance },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2025 },
volume = { 187 },
number = { 25 },
month = { Jul },
year = { 2025 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number25/aura-an-ai-driven-mobile-safety-application-for-women-with-real-time-monitoring-and-legal-assistance/ },
doi = { 10.5120/ijca2025925420 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-07-31T02:40:02.765400+05:30
%A Jasleen Kaur Matharoo
%A Arhasi Soni
%A Shaik Tanveer Hussain
%A Baidyanath Ram
%A Poonam Mishra
%T AURA: An AI-Driven Mobile Safety Application for Wom-en with Real-Time Monitoring and Legal Assistance
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 25
%P 15-19
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research article outlines AURA—an AI-based mobile safety application that will increase women’s safety in India. Unlike traditional safety applications that merely react after a safety event happens, AURA represents a preliminary push toward a proactive safety infrastructure based on real-time geofenced data, anomaly prediction from mobile sensors, AI-enabled navigation tools using AR, chatbot legal support tools, and user-generated safety surveys. The app included predictive anomaly detection based on mobile sensors, AR-enabled navigation to select safe routes, a legal chatbot that could provide any legal help, documents and advice, and user-generated requests for safety and crowd-sourced reports. Lastly, AURA utilizes geofenced dynamic environmental risk-level notifications from real-time user-generated reports or safety messages. Pilot trials in urban geographical regions have established AURA responses for intentional emergencies and coping with emergencies with promising results based on good levels of emergency handling, good overall user experience, and high levels of satisfaction. AURA is a meaningful advancement for an integrated smart system of proactive responses within a safe context-aware infrastructure.

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Index Terms

Computer Science
Information Sciences

Keywords

Women’s safety artificial intelligence anomaly detection real-time monitoring legal chatbot mobile safety application augmented reality geofencing cloud computing

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