Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{154503,
        author = {Vandita Joshi and Gauri Panpaliya and Suyash Chilwarwar and Kartik Chauhan and K.J. Sapkal},
        title = {Effect of COVID work from home on the health of students based on the active step counts per day},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {11},
        pages = {360-363},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154503},
        abstract = {Over recent years the world has seen a spike in the working from home due to COVID-19 and usage of electronic devices like Laptops and mobiles has been increased. The COVID-19 pandemic has a negative influence on physical health because to the long-term pandemic situation and onerous measures such as lockdown and stay-at-home directives. Their physical activity was diminished, their screen timing was increased, now when we track these activities, their physical health was reduced. We propose that we will calculate the impact of this adverse effect using BMI, number of active step counts taken in a day. Technology used in this project will be Data Science, Python and latest Web Frameworks mainly Flask, Django, etc.},
        keywords = {COVID-19, Health monitoring system, Data Science, e-Health, Analysis, Healthcare, Machine Learning},
        month = {},
        }