Cognitive Wellness Assessment: A Comprehensive Review of Deep Learning and Machine Learning Approaches for Mental Stress Detection in the Digital Age

Mental stress is a big problem nowadays, particularly in young people. The age group that was formerly seen as the most carefree is presently experiencing a great deal of stress. Increased stress in today's world causes numerous issues like depression, suicide, heart attacks, and strokes.Stress identification is important because it can help to prevent chronic stress and its negative health consequences, improve productivity and performance, and reduce the risk of accidents and injuries. It can also increase self-awareness and improve communication and relationships. Effective stress management is essential for preserving general wellbeing and guarding against the harmful consequences of long-term stress, which can have an adverse influence on relationships, mental and physical health, and physical health.By incorporating stress management techniques into daily life, individuals can effectively reduce stress levels, enhance their quality of life, and promote resilience.Specializing in deep learning and machine learning methods, this paper offers an extensive overview of the research on stress identification. Their development over a number of years is covered. Furthermore, the study makes recommendations for future work, with a focus on increasing accuracy and utilizing new technologies. For scholars and practitioners in the field, this paper provides insightful information about the prospective applications of deep learning and machine learning in stress identification.