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Rakshika: A Systematic Review of Artificial Intelligence and Internet of Things Solutions for Women Safety

Journal of Applied Information Science

Volume 13 Issue 1

Published: 2025
Author(s) Name: C. V. Verma, K. Lalini, P. Panchal, R. Gurjar, N. Choudhary, P. Malviya, and R. Meliwal | Author(s) Affiliation: Prestige Inst. of Engg. Mgt. & Research, Indore, Madhya Pradesh, India.
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Abstract

The increasing global awareness of gender-based violence and harassment has led to the emergence of innovative technologies focused on improving women’s safety. This review paper looks at the evolution, design, and societal impact of various safety devices and solutions tailored to empower women in diverse environments. These technologies incorporate wearables, mobile applications, and stand-alone devices with advanced GPS tracking and emergency alert system capabilities in place to facilitate response in high-risk situations within real time. Emerging technologies of the IoT, AI, and ML have transformed and are evolving these solutions that allow predictive analytics, intelligent detection, and proactive responses. It includes critical challenges such as privacy, comsecurity of data, accessibility for underprivileged groups, and the requirement of more inclusive and intuitive designs along with technological advancements. Other issues that it also presents include usability validation and how the adoption of these devices may be promoted by governments and organizations. This paper, through the analysis of key innovations and their real-world applications, demonstrates how technology can empower women and make public and private spaces safer, thus contributing to gender equality and societal progress.

Keywords: Artificial intelligence, Convolutional neural network, Crowd monitoring, GPS tracking, IoT (Internet of Things), Wearables, Women security.

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