Abstract

Many people nowadays are dealing with psychological trauma. referred to as stress. Stress is defined as "a state of tension and pressure brought on by any thought or incident that makes you feel anxious, agitated, or frustrated". Many people have experienced stress as a result the current situation, particularly youth and working professionals. These days, a rise in stress can cause a number of issues, including heart attacks, depression, and suicide. Many academics have turned their attention to stress identification as mounting data indicates that stress related health illnesses associated with the demanding modern lifestyle are becoming more and more common. Consequently, this study's main objective is to predict stress levels, using user-retrieved data that is then confirmed using a subjective stress scale. In this case, a ML algorithm should be trained on the data to forecast the stress level. With the help of our stress prediction, you can quickly determine your current stress level and steer clear of any unfavorable circumstances. With the help of this approach, people may proactively handle future problems and avoid unfavorable consequences by having correct insights into their stress levels. The project's ultimate goal is to improve mental health by providing a tool for efficiently determining and controlling stress levels and encouraging a better way of living.