Title: A machine learning-based domestic violence prediction and Android application-based domestic violence prevention assistance system

Authors: Sheikh Rasel; Mahfuzulhoq Chowdhury

Addresses: Computer Science and Engineering Department, Chittagong University of Engineering and Technology, Chittagong 4349, Bangladesh ' Computer Science and Engineering Department, Chittagong University of Engineering and Technology, Chittagong 4349, Bangladesh

Abstract: Domestic violence is a widespread issue in today's society. Numerous efforts are currently being made to reduce domestic violence. Due to the number of repeated offenses and the various pattern of behaviour, this is a difficult problem to control. Existing works did not investigate both emergency and non-emergency help for users of domestic violence help using Android applications as well as machine learning-based violence prediction. This paper prepares the dataset through survey questions and compares the performance of various machine learning-based algorithms for violence prediction. This paper develops a mobile application to provide instant and legal help to victims of domestic violence. This paper offers call button features that make automatic calling, an instant location tracking system, and automatic location along with video/image transfer to the nearest police station, phone shaking features for emergency help. The evaluation shows the usefulness of this application.

Keywords: domestic violence; machine learning; prediction; legal help; instant help; Android application.

DOI: 10.1504/IJAMS.2024.136143

International Journal of Applied Management Science, 2024 Vol.16 No.1, pp.68 - 88

Received: 30 Oct 2022
Accepted: 21 Jul 2023
Published online: 18 Jan 2024 *