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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM57100

AI-Powered Local Wake-Word SOS Activation System

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM57100

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM57100

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

MSS

Mrs. Sangeetha. S1

HV

Harini. V2

RM

Roshini. M3

RM

Ramya. M4

D

Dikshita.G5

Author Services & Downloads

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Abstract

Women’s safety applications often fail in emergencies because they rely on manual input, internet connectivity, or GPS availability. In many critical situations, victims may not be able to use their phones, and poor network coverage decreases the reliability of existing SOS apps. To tackle these challenges, SOS Activation System offers an AI-powered Offline Women Safety Alert System that works without internet and with minimal user interaction. The system uses a TensorFlow Lite

KEYWORDS

spotting model that constantly listens for phrases like “Help me” to trigger an emergency alert offline

Cite This Article

Mrs. Sangeetha. S1, Harini. V2, Roshini. M3, Ramya. M4, Dikshita.G5, "AI-Powered Local Wake-Word SOS Activation System," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026. https://doi.org/10.55041/IJSREM57100

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Publication Date

1/2/2026

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Double-Blind Peer Review

Review Rounds: 2

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0

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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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