Emy Lou Alinsod  Raymund Mindanao

Vol. 2,  No. 1, pp. 0-0, Jan.  2025
10.23246/AAIRJ.2025.02.01.04

Generative AI Mental Health AI

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For Student mental health has emerged as a critical concern in higher education, this study developed a web-based application that leverages a Generative AI model to address the need to identify student mental health status. Traditional methods of mental health monitoring and support may not be sufficient to address the growing needs of students. This paper explores the potential of generative AI to develop a proactive mental health monitoring system. By utilizing a standardized questionnaire based on the American Psychiatric Association's (APA) DSM-5-TR Self-Rated Level 1 Cross-Cutting Symptom Measure—Adult (DSM XC), the system collects and analyzes student mental health data to identify potential issues and provide timely interventions. This paper discusses the development and implementation of this AI-powered system, its potential benefits, and ethical considerations.