A Novel Method for Diagnosing Depression and Providing LLM-based Support

Mental health issues are a growing global concern, impacting people across all demographics. The high demand for mental health support, coupled with the limited availability of professional resources, underscores the urgent need for accessible and innovative solutions. Existing AI therapist systems fall short in several key areas, including over-reliance on impersonal questionnaire-based assessments and limited adaptability to diverse user needs. The proposed AI therapist system addresses these limitations through an integrated approach that combines visual emotion analysis, chatbot-based therapy, and personalized therapeutic guidance. By analyzing users' facial expressions and emotional cues, the system provides a more accurate assessment of their mental state, allowing for a deeper, real-time understanding. This innovative approach enhances the accuracy and effectiveness of AI-based mental health support, offering a more accessible, personalized, and impactful therapeutic experience.