Periodical Analysis of Stress in Working Professionals

The working sectors are introducing new products and technologies to the marketplace these days, giving it a modern feel. It ultimately caused workers' stress levels to increase. With the use of sophisticated machine learning methods and picture processing, our project's main objective is to detect stress in working professionals periodically. KNN classifiers are a kind of machine learning algorithm that is used to analyze a specific employee's stress pattern and ascertain how stressed out they are frequently or monthly. The previous stress detection methods, which lacked live detection, have been enhanced by our technology. This system, however, includes live detection as well as routine employee assessments that allow for the identification of employees' levels of physical and mental stress and the provision of appropriate treatment.