<![CDATA[Student mental health is an essential aspect of education, yet limited access to counseling services and communication barriers continue to hinder psychological support. This study aims to analyze the potential integration of Deep Learning and intelligent chatbots in developing a student mental health support system within an Islamic boarding school-based educational environment. A qualitative case study was conducted at MA Model Zainul Hasan Genggong, Probolinggo Regency, East Java, Indonesia. Data were collected through interviews, observations, and documentation involving the principal, school counselors, homeroom teachers, boarding school mentors, and students. Data were analyzed using the Miles and Huberman interactive model, comprising data reduction, data display, and conclusion drawing and verification. The findings identify three key aspects. First, Deep Learning has the potential to support the early identification of psychological distress indicators through the analysis of students' linguistic patterns and emotional expressions. Second, intelligent chatbots can be conceptualized as digital support spaces providing emotional check-ins, mental health education, emotion regulation strategies, coping skills development, and referral guidance. Third, integrating AI with school counselors through a Human-in-the-Loop approach offers a multilayered support framework in which human professionals retain responsibility for verification, assessment, and follow-up. This study proposes a conceptual framework integrating AI capabilities and human support while emphasizing accessibility, safety, and contextual appropriateness within Islamic boarding school education. As the technological components have not undergone experimental evaluation, further validation is required before operational implementation.]]>
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