Title: Intelligent system for women's safety using data science

Authors: Priyanka Kohli; Kawaljeet Singh

Addresses: Department of Computer Science and Engineering, Punjabi University, Patiala (Pb), India ' University Computer Centre, Punjabi University, Patiala (Pb), India

Abstract: Women's safety is a critical and crucial issue in today's world. Meanwhile, women are working equal to men; they are facing a lot of troubles and are not safe in untimed situations. They are facing problems like molestations, sexual assault, rape, domestic violence, etc. There are a number of applications and gadgets for women's safety but have some limitations. This paper presents a comprehensive study and review of various research papers regarding women's safety and awareness. Various systems developed for women's safety and security are discussed and analysed. The limitations in the existing work and research gaps have been presented in this paper. So an intelligent system using data science techniques is proposed that can be implemented in cell phones which can send live location to guardian, police and doctors in troubled situations. Machine learning based logistic regression may be used to classify public places as safe and unsafe for women.

Keywords: data science; intelligent system; women's safety; e-governance; empowerment; machine learning; domestic violence; mobile apps; women security; safety gadgets.

DOI: 10.1504/IJAIS.2021.117877

International Journal of Adaptive and Innovative Systems, 2021 Vol.3 No.1, pp.25 - 42

Received: 08 Jul 2020
Accepted: 11 Nov 2020
Published online: 04 Oct 2021 *

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