Machine Learning for Multimodal Stress Detection – A Case-Study

In contemporary educational and professional settings, the escalating issue of stress significantly impacts the health and productivity of individuals. This comprehensive survey article analyzes and contrasts the stress levels reported by students and employees, employing a machine learning approach. By harnessing the capabilities of ML techniques, this study delves into the multifaceted factors influencing stress within these distinct cohorts. Through a meticulous examination of recent research and authentic data, as well as a quest for potential commonalities, the aim is to elucidate specific stressors encountered by students and employees. The work focuses on the difficulties these individuals confront psychologically and reveals the capability of machine learning to solve stress-related problems within society. The results of this research can be used to create targeted interventions and support systems that help students and employees deal with stress, thus improving their quality of life and working conditions.