STRESS DETECTION IN IT PROFESSIONALS BY IMAGE PROCESSING AND MACHINE LEARNING

Abstract

The primary goal of our 
study is to identify IT workers who are 
experiencing stress by using advanced 
methods in machine learning and image 
processing. Our system is an improvement 
over previous stress detection systems that 
did not include live detection or personal 
counseling. Instead, our system includes both 
of these features, as well as periodic analysis 
of employees to detect levels of physical and 
mental stress and to provide them with 
appropriate remedies for stress management 
through the use of survey forms. The primary 
goals of our system are stress management, 
creating a healthy and spontaneous work 
atmosphere, and optimizing the performance 
of workers when they are on the clock.