A machine learning-based intelligent system for women's work-life balance prediction and a smart mobile application for women's daily life assistance
by Urshi Barua Teya; Mahfuzulhoq Chowdhury
International Journal of Smart Technology and Learning (IJSMARTTL), Vol. 3, No. 3/4, 2023

Abstract: Work-life imbalance can lead to several problems for a person, like personal stress, anxiety or depression. At present, there is a lack of a work-life balance prediction system using Machine Learning (ML) and a mobile application for the daily life assistance of Bangladeshi women. This paper determines the work-life balance status of working women in Bangladesh using machine learning. We tried to build a mobile application that gives some features that can help a working woman live a balanced work-life balance, such as work remainder, doctors' information and police complaints. Different kinds of ML Classification algorithms were used for the work-life balance status determination of women. This paper prepares a data set of 22 attributes for appropriately classifying work-life balance status. Seven ML methods are tested using the data set. This paper has suggested K-Nearest Neighbour be the most effective, with a classification accuracy of 98% among all compared methods.

Online publication date: Wed, 28-Feb-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Smart Technology and Learning (IJSMARTTL):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com