The research on the current scenario shows that there has been an increase in suicides as a result of poor mental health. An individual’s emotional, psychological, and social well-being are all reflected in their mental health. It determines how someone perceives, feels, and responds to a circumstance. Both keywords work and personal life can be impacted by poor mental health. For many years, the subject of mental health has been important and challenging, especially for working professionals. People eventually suffer from the contemporary (hectic) lifestyle and workload, increasing their risk of mental illnesses like anxiety and mood disorders. Thus, mental health issues among working professionals are on the rise. In this current scenario, there is need to study mental health detection. Machine learning is a field that is frequently used to make predictions or categorize objects. Thus, the system to predict the health of the working professional was proposed using machine learning. The proposed system adds number of machine learning techniques to forecast the mental health state of information technology professionals through the web application. The results were promising and as expected.