The Connected Intelligence Unveiling the Future of IoT
Articles

Enhancing Women’s Safety Using IoT and Machine Learning Technologies

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  • Sumana Chakraborty
Sumana Chakraborty
Assistant Professor, Department of Computer Science and Engineering, Swami Vivekananda University

Published 2026-05-22

Keywords

  • Women safety,
  • IoT,
  • machine learning,
  • wearable device,
  • personal security,
  • real-time monitoring,
  • alert system
    • ...More
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How to Cite

Chakraborty, Sumana. “Enhancing Women’s Safety Using IoT and Machine Learning Technologies”. Swami Vivekananda University Press, May 2026, pp. 207-16, https://swamivivekanandauniversitypress.com/index.php/svup/article/view/546.

Copyright (c) 2025 Swami Vivekananda University Press

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

Using machine learning algorithms and Internet of Things (IoT) technology, this study offers a novel way to increase women’s safety. The primary objective of this system is to boost women’s confidence in a variety of settings by offering continuous, real-time personal security monitoring and timely alarms. This technology offers proactive threat identification and prompt assistance by fusing wearable hardware with intelligent software. This article goes into further information about the system’s architectural design, implementation details, and performance evaluation.

DOI - https://doi.org/10.65525/SVUP.9788199565401.2026.207-216

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