Depression represents a psychological illness or disorder which is very common nowadays. It's serious and has a growing number of problems that affect one's way of life and interferes with the functioning of the environment. Moreover, it has many detrimental impacts on society as well as the country, which lead to deteriorating the society. So, it's a matter of fact to taking proper steps to forecast the level of depression. Very few works have been done in this context. Our aim is to forecast the level of depression which helps us to get rid of this problem at the early stage. We have selected various factors which are responsible for these problems. These factors are determined with the help of a psychologist. We have employed eight machine learning classifiers for experiments and various performance evaluation matrices to evaluate our work. In the end, we have found that SMO performs better than any other classifiers, which is promising for our work.