Mental pressure is a significant element that influences our solid life.Stress is a common experience for many students and can be caused by a variety of factors. Some of the main causes of stress in student life include academic pressure, social expectations, financial concerns, and personal issues. Academic pressure is a major source of stress for students, as they often face demanding coursework, tight deadlines, and high expectations from teachers, parents, and peers. This can lead to feelings of overwhelm, anxiety, and self-doubt, which can further exacerbate stress levels. Conventional pressure identification technique utilize eye to eye interviews, it takes a lot of time and arduous assignment. Scholar of the present time are perpetually exposed to huge measure of pressure, the contributing variables for this are in bounty. Numerous scholars can't adapt up to the difficult and unpleasant climate and neglect to get help in the correct manner, hence directing a relentless harm to their ways of life. We propose an answer for the instructive association where the specialists can foresee the pressure of the scholar utilizing Machine Learning. Two ML models like Random Forest (RF) and Decision Tree (DT) are proposed to anticipate the feeling of anxiety of the scholars. For this study the dataset of 2958 scholars has been gathered by some designing schools of the northern India learning at graduation level. The information is gathered utilizing on the web and disconnected polls.