An AI-Based System for Diagnosis and Treatment of Mental Illness

An Al-Based System for Diagnosis and Treatment of Mental Illness When it comes fulfilling the capacities of an individual in terms of psychological support and intervention the lag is evident. The huge stigma attached to the psychological issues/mental illnesses makes it all the more difficult for the population all over the world to go and approach the psychologists/psychiatrists. In addition to stigma, population is unaware of psychological signs/symptoms and emergency interventions related to psychiatric disorders. Henceforth, need of an artificial intelligence system which interacts with people about their psychological symptoms was seen. This is an inbuilt system based on Al which allows the user to express their needs and wants in a single platform. The application performs the functions from diagnosing to treating the user. Surely there are many unnoticed cases of mental illnesses which haven't been reported. The stigma attached to the mental illnesses makes it all the more difficult for the people to approach psychiatrists/therapists. This application will help the people to approach for treatment without facing any social stigma. Which in turn will help to develop a much transparent database for the same. The data base can be accessed by the Governmental Organisations to develop statistical data on the prevalence and occurrence of all psychological illnesses. Patients who are already under treatment can use the app for further interventions. Unlike other apps available in the market this app is completely Al based. How they feel, for how long are the symptoms running and further helps them track down their ongoing mental health conditions. The system will update/improve system based on latest researches and updates. The patient will be diagnosed according to their symptoms. The responses will be recorded and user will be suggested for further interventions. The recording of the response will further help in improving the quality of diagnoses. The sensors and camera of the laptop/ smart phones will be utilised to sense the emotions and vitals of the patient. The application will be connected to the smart watch also to configure the vitals of the users. Automated suggestions based on the present recorded condition of the user will pop up. For example, a pop up for breathing exercises, medicines. Time scheduled for therapies. Ongoing patients can enter their details and can continue with the treatment online. This in turn will help both the new and o