Abstract:
An increasing number of individuals face mental health problems, including anxiety, stress, and depression, because academic, social, and personal demands keep rising. The conventional mental health services encounter multiple obstacles such as restricted accessibility as well as cost barriers and societal stigma that limit people from obtaining timely assistance. This project developed an AI-enabled mental health chatbot mobile app that provides scalable, accessible, and interactive methods for mental health evaluation and support for users. This Mobile app presents the Depression Anxiety Stress Scales (DASS-21) questionnaire in a conversational format, allowing users to conduct daily self-assessments. User interaction with this chatbot runs through its empathetic transformer-based system, which determines user sentiment using sentiment analysis to produce weekly mental health indexes. The application stores generated insights in Firebase, enabling users to track their progress over time and identify patterns in their mental health. Additionally, the app offers customized coping strategies and resources based on individuals’ responses, ensuring that users receive targeted support that suits their specifc needs. This personalized approach not only fosters a deeper understanding of one’s mental well-being but also empowers users to take proactive steps towards improvement. Users update their self-analyses, conducted in the mental health application on a regular basis, they get a better idea of their emotional patterns. These self-estimates records also will be available to appointed therapists providing more rational decisions and individual care under the control of a human. Users beneft from the app because it implements intelligent communication to detect mental health conditions while building self-awareness and increasing involvement with mental health services.
