Using Image Processing and Machine Learning to Identify IT Workers' Stress Levels

Abstract

Our project's overarching goal is to identify IT workers experiencing stress via the use of advanced machine
learning and image processing methods. By incorporating live detection and periodic analysis of employees, we are
able to detect both physical and mental stress levels. We then provide survey forms on a regular basis to help
employees manage their stress, which is an improvement over previous stress detection systems that did not include
personal counseling. In order to get the most out of our workers when they are on the clock, our approach is
primarily concerned with stress management and creating a healthy, spontaneous work atmosphere.