Early detection and assessment of mental health problems such as depression will help patients receive early treatment, which can enhance the patient's quality of life and empower them to live up to their full potential. The research forecasts people's mental health and emotional stability, and seeks to rehabilitate those vulnerable to depression. Depression is a major health issue in the world, especially in India, leading to significant diseases, disability and mortality as well as

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... socioeconomic losses. Machine learning techniques can be used to diagnose the depression or anxiety disorders accurately. The project has a web application that people can avail to ensure whether they are mentally stable or not. Unlike existing apps, here the details as well as any family history of depression or anxiety disorders are entered besides answering questions so as to come up with accurate predictions. The machine learning model used here is trained on the responses obtained through survey using PHQ 9 questionnaires. It also includes a module for sentiment analysis using Chatbot that communicates with the user and finds out the reason for depression. The community as a whole will be benefited and every person regardless of age or gender can make use of the application to get an accurate diagnosis. The project can be extended to predicting other mental and behavioral disorders other than depression and thus help in building a mentally fit society.