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AI as a new Psychotherapist-To Learn and Fight Mental Illness

AI as a new Psychotherapist-To Learn and Fight Mental Illness

Prathvin, Ram Krishna Marndi, Shreyas M, Rahul M K, Prof. John Prakash Veigas

Department of Information Science & Engineering

 AJ Institute of Engineering and Technology

Mangalore, Karnataka, India

Abstract— Artificial intelligence is used in finding more and more applications in areas such as cancer treatment, internal medicine.

However, the implementation of Artificial intelligence in mental health care and neurobiological research has been bounded.  In regard to the future of mental healthcare, it can serve as a bridge between mental illness and treatment plans. Mental health is a critical issue in today's world with a rising number of individuals working from home and away from friends and family, the mental health and medical situation has started to deteriorate. As a direct consequence, it is crucial to recognize and deal with any problems before they become too serious. The aim of the project is to understand the mental illness by evaluating and monitoring the user’s responses gathered during a close ended question. A session will take place between the customer where set of questions that would pose regarding their symptoms and the response would be the severity level of the symptom scaling 0 to 4. While being constantly questioned, our model will store all the responses and use SVM Algorithm to display the exact illness the user is suffering from either Depression, Anxiety, Psychoticism, Phobic-Anxiety, Obsessive Compulsion, Anger-Hostility or No Illness. After finding the illness user can check the severity level of the illness by attending different set of question which will disclose if the user has Illness with high severity level or low severity level.

Keywords-Mental Illness, Machine Learning, SCL-90R.