Detecting Mental Health Through Screening and Chatbot Interventions

The promotion of mental health and positive mental health's maintenance have been a significant problem on the global level. Anxiety, depression, OCD, Bipolar disorder, stress, eating disorders, the pressure of work, and education are some of the common mental health issues that people are usually grappling with across the globe. This will make solving the complexity of the human mind the number one need for the attribution of ongoing initiatives to hasten that process. The mental issue is to be alleviated as it stands. Hence, implementation of technologies for evaluation and support is suggested and the strategy prioritises technological interventions here. The classical mechanisms of mental health assessments go head-to-head with a considerable number of challenges including societal stigmatisation, financial implications, and accessibility limitations. To this end, our novel software remains as a tool for digital treatment, which actually costs less and ensures user privacy. Our system organises a thorough evaluation process to diagnose the patient's problem and proffer custom-made solutions. Furthermore, it layers a chatbot for the user to supply crucial emotional backup. The system collects data of various kinds and kinds of data, including unstructured files, refined datasets, questionnaires, and data from APIs, all of which are stored in a specific database to facilitate prediction modelling. Then starts with an automated web-based questionnaire, the BRIEF MENTAL HEALTH SCREENING, which has been created and tested to aid the users with insights into their mental well-being. With the help of machine learning algorithms, the system determines if people are suffering from mental health problems. In cases where the feedback is too general, the tool conducts an intensive breakdown of the data. Age-based questions form the basis of this phase, where the indication of psychological health will be through unheard-of features such as musical tastes, dietary preferences, facial recognition, and screen time. Post the detection of a mental health problem, a series of tests, including the battery screens, which may reveal a range of conditions such as depression, anxiety, stress, social anxiety, and bipolar illness, will be conducted. The collective overall score from these evaluations can be the central point for a comprehensive decision on the user's situation. Post-diagnosis, our system extends its support further by offering an interaction platform with an emotionally attuned chatbot. This dynamic chatbot adapts its responses to align with the user's emotional state, providing an empathetic and personalised interaction. Whether the user is in distress or feeling down, the chatbot's responses mirror their emotional disposition, fostering a sense of confidence and encouragement. By Adopting An All-encompassing methodology, our system strives to comprehensively address mental health challenges, sparing no effort to enhance well-being.