Abstract:
In twenty first century, due to covid-19 pandemic the job sector has been absolutely
shifted.Before starting and joining the job environment, company’s authorities should
ensure job holders are psychologically qualified and suitable or not. To keep maintaining
physical distance and protect themselves from the pandemic somebody job holders are
working from home and someone are working from office. We spend two-thirds time of
the day atoffice zones. The work is our main hope. Life, live hold, property, fame money
all dependon the workplace. Stress is a problem from which it is difficult to get rid of
quickly! For various reasons, many of us spend most of the day under stress which also
affects our body. Stress can lead to hypertension, insomnia, digestive problems and even
nerve problems. So to stay healthy, we must first eliminate anxiety or stress. We got
motivationand find out mentalstress during Corona-virus. The aim of the of the research
paper to helpand provide information to job firm authorities, so that they can proper care
to reduce mentalstress during epidemic based on predicting result us. We used Logistic
Regression,K-Nearest Neighbors (KNN), Naïve Bayes and Decision Tree machine
learning algorithms. This research paper achieved accuracy almost 80% in Logistic
Regression.
