Screening Application for Possible Mental Health Issues in Adolescents and PWDs Using Data Science

Mental health issues, such as depression, anxiety, and stress, are prevalent among adolescents and Persons with Disabilities (PwDs), yet access to mental health professionals is limited, especially in rural areas. A screening application for mental health issues in adolescents and PwDs is developed to address this challenge, utilizing Flutter, Dart, and a fine-tuned NLP model of GPT-4. The application consists of a questionnaire module that analyzes user responses, a Results module providing mental health assessments, and a Support and resources module offering over 100+ healthcare resources. Data on mental health issues faced by adolescents is collected from Kilpauk Medical Hospital (KMC) and Velammal Medical College to inform the application’s development. The GPT-4 model is fine-tuned for phobia screening, resulting in an 80% accuracy rate in identifying phobia types and levels. The application effectively diagnoses various mental health issues, including anxiety disorders, bipolar disorder, depression, eating disorders, obsessive–compulsive disorder, post-traumatic stress disorder, schizophrenia, and various phobias. The application holds promise in enabling early identification and intervention for mental health issues, particularly in underserved areas.