UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 5
May-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2505369


Registration ID:
561626

Page Number

d278-d283

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Title

The ‘Friend in Threat 2.0’ Offline-Enabled AI-System

Abstract

Timely access to emergency assistance can save a person's life, particularly for women experiencing critical and/or violent situations. In the vast majority of rural and low connectivity environments, the efficacy of mobile safety apps diminishes due to the reliance of the mobile safety app to internet connectivity for reporting, processing and obtaining help. We report on the improved implementation of Friend in Threat, a voice application (AI-based) women's safety app, which is capable of functioning in an offline environment. Our new implementation is an all-in-one system consisting of on-device speech recognition, offline keyword detection, GPS data collection with no internet access, and texting (SMS) during an emergency using a local carrier. The system was built with Kotlin, Android Room Database, and portable machine learning models and is comprised of both audio and visual notifications of distress alerts to be triggered and received without real-time connectivity. Testing the various iterations of our new implementation in several no-network zones demonstrated a high success rate to deliver messages and a fast trigger response to provided danger keywords. The presented solution successfully fills in an existing technological gap presented by current systems and is an example of the creation of a viable, responsive and offline capable women's safety app

Key Words

The ‘Friend in Threat 2.0’ Offline-Enabled AI-System,

Cite This Article

"The ‘Friend in Threat 2.0’ Offline-Enabled AI-System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.d278-d283, May-2025, Available :http://www.jetir.org/papers/JETIR2505369.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"The ‘Friend in Threat 2.0’ Offline-Enabled AI-System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppd278-d283, May-2025, Available at : http://www.jetir.org/papers/JETIR2505369.pdf

Publication Details

Published Paper ID: JETIR2505369
Registration ID: 561626
Published In: Volume 12 | Issue 5 | Year May-2025
DOI (Digital Object Identifier):
Page No: d278-d283
Country: Fahrukhnagar, HARYANA, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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