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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM48217

AI – Based Integrated Women Safety System Real -Time Monitoring, Mobile Application and Physical Emergency Unit

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM48217

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM48217

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.

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Authors

BSK

Benitlin Subha K1

DKA

Dhilip Kumar A2

DGT

Dilli Ganesh T3

MS

Mageshwar S.V4

AAS

Ashraf Ali S5

DR

Devanesan R6

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Abstract

This AI-based Women’s Safety System is a comprehensive, real-time solution integrating AI surveillance, mobile application, and IoT-enabled SOS hardware to enhance women’s security in both urban and rural areas. The AI surveillance module uses computer vision and machine learning to identify gender and detect suspicious behavior from live video feeds, triggering instant SOS alerts with location and video to nearby authorities. The mobile app enables users to store trusted contacts and send emergency messages via SMS and WhatsApp through a simple button press or shake gesture, sharing live GPS location. The hardware SOS device, installed in public places, features a one-touch emergency button with GSM and GPS support, ensuring help is accessible even without a phone. By combining smart technology, predictive analytics, and real-time communication, the system aims to create a safe, responsive environment and empower women against potential threats.

KEYWORDS

GSM GPS IoT-enabled SOS

Cite This Article

Benitlin Subha K1, Dhilip Kumar A2, Dilli Ganesh T3, Mageshwar S.V4, Ashraf Ali S5, Devanesan R6, "AI – Based Integrated Women Safety System Real -Time Monitoring, Mobile Application and Physical Emergency Unit," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM48217

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Publication Date

5/17/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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