Machine Learning Modeling for Students' Stress Detection

Abstract

Mental stress is an increased mental state of the human body that creates unavoidable situations by which people become mentally and physically weak. Factors which trigger stress are called stressors. If a person continues to take stress all at once, both his mind and body will be affected by the flood. It is very harmful to a human being so it should be prevented as soon as possible. Mental stress as usual happens with every person but if we observe deeply, it is very common among university students. University is the toughest part of life which give us future life problem and solutions. A university student is a grown man who has to think about future earnings. They feel very insecure about their future life which is cause a big amount of mental stress. So, we decided to check the amount of stress over various types of students. We categorized them by gender and age. Then we created a questions sheet where we put twenty-four common questions. We sorted out the questions by talking with a senior psychologist and reading big amount of resources. By answering them we can measure the amount of mental stress among the categories and also, we can find out the reason behind them which will help us to reduce the number of students suffering from mental stress in educational life.