STRESS DETECTION IN IT PROFESSIONALS BY IMAGE PROCESSING AND MACHINE LEARNING

Our paper's core objective revolves around the detection of stress in IT professionals, leveraging a diverse range of machine learning and image processing methods.Unlike previous iterations, ours offers real-time detection and ongoing analysis, providing personalized remedies to manage both physical and mental stress levels.Through periodic surveys, employees receive tailored support aimed at fostering a healthier and more productive working environment.Ultimately, our focus is on optimising employee well-being and performance by effectively addressing and managing stress during work hours.