Stress Detection in it Professionals by Face & Speech

The goal of this project is to use image processing and machine learning to recognize stress in IT professionals. The aim is to monitor the mental health of people working in front of computers for long periods of time, control and reduce stress, and provide a better working environment for IT workers. This approach focuses on managing stress and creating a healthy work environment so employees can get the best out of themselves at work. The overall aim of the research is to propose a reliable, simple and accurate search. The main purpose of this study is to analyze and provide information about the stress of employees by estimating the stress of the individual according to the symptoms determined by the care. The main goal of our study is to use effective machine learning and imaging techniques to diagnose stress in IT professionals. Our system is an updated version of the original stress testing method that does not include real-time testing and in-person interviews, but does include real-time measurement and regular employee reviews and controls over time. Keep track of information/stress on body and mind by giving regular questions to check stress treatment. Our system mainly focuses on managing stress and creating a healthy working environment so that employees can make the most of stress during work.