The Aspiration Of The “Employee Stress Management System” Is To Identify The Employees Under Stress Within
Companies Of Various Work Environments And Embedded Remote Work Adaptations To Help Raise The Balance In Their Work,
Life, And Health. Since The COVID-19 Epidemic, Most Companies Transformed Their Working Styles Into Unusual Spaces Such
As Working From Home Leaving Employees With Ambiguity And Stress In Managing Their Working Goals. So, It Is Need Of The
Hour For The Company Executives To Undertake This Prediction As Assistance To Conduct Appropriate Remediation To Help
Employees Balance Their Work And Manage Performance Outcomes. Thus, This Project Is Pivotal In The Work-life Which Uses
Machine Learning Algorithms To Analyze The Database And To Perform Prediction Analysis In Determining Stressed Employees.
The Main Framework Of The Project Relies On Python With Provided Graphical User Interface Including Visual Graphs And
Heatmap For Scrutiny By The Company’s Management Along With Prediction Results.
