Utilizing Machine Learning to foster employee mental health in modern workplace environment

This study offers a novel approach to tackling the increasing problem of workplace stress by utilizing machine learning techniques. Professionals in modern work contexts experience heightened levels of stress due to demanding job requirements, technical challenges, and the common expectation of perpetual availability. This work presents a comprehensive stress detection and mitigation method that utilizes advanced machine learning techniques, including image processing and real-time monitoring, to identify indicators of stress and offer personalized treatments. The system comprises several components, encompassing data collection and user interfaces, with the objective of promoting a more salubrious work environment and enhancing employee welfare and efficiency.