Year: 2021
Type: article
Abstract: The coronavirus transcended from epidemic to a pandemic in March 2020. Due to this many countries across the world went into lockdown, affecting daily activities and thereby severely hampering educational activities, specifically in rural areas and in particular in under-developed countries. This paper describes a supervised machine learning algorithm in detail, which provides a comfort rating by accounting the student demographics, available mode of transport, etc., across a given region, to help educational institutes across the world to come up with a suitable plan to restart their activities risk free amidst the pandemic.
Authors: Shashank G. S. Yashas, Yashas Vinay
Institution: Jawaharlal Nehru New College of Engineering
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W3211032099