We are all aware that the proverb “health is wealth” equally applies to mental health. Depression, Anxiety, Stress and Loneliness are examples of mental illnesses that can lead to death. Depression is a serious concern among today’s youngsters. Our project focuses on the individual’s mental health, allowing us to identify the underlying causes of sadness or anxiety. The goal of our project is to forecast state the mental wellbeing of the individual. We have used many approaches for machine learning like a Random Forest Classifier, Bagging, Texting, Stacking, and Logical Regressions. Data was acquired through a survey that we performed by asking participants to fill out a Google form with a variety of questions. To improve accuracy of model, we have label-encoded the data which we have gathered. The data is subjected to a variety of algorithms using machine learning for getting labels. After that, a model for prediction an individual's psychological condition will be built.