Post-secondary students are facing a growing mental health crisis. Approximately one-third of post-secondary students in Canada screen positive for clinically significant symptoms of depression or anxiety, yet less than 10% of students receive treatment due to structural and psychological barriers. In response, digital mental health interventions (DMHIs) have emerged as a potential scalable approach to augment traditional service delivery, but must be built to reflect how students' uniquely experience, report, and engage with their mental health. For this reason, the presentation will first discuss findings from a literature review examining the performance of psychometric measures for depression and anxiety in student and adult populations, reinforcing that applying adult screening thresholds in DMHIs may compromise accuracy and care equity in students. Second, it will introduce Fort, a digital front door that integrates with campus mental health services to provide centralized, student-centred access to care. It will describe Fort’s clinical recommendation that combines self-reported psychometric data and clinically defined rules with machine learning to assess current and future risk of depression and anxiety and signpost to stepped care levels. Lastly, the presentation will showcase the concurrent co-design of a digital mental health self-monitoring indicator that aggregates validated psychometric inputs into an actionable visualization to support behaviour change. Collectively, these efforts advance a student-centered digital mental health ecosystem.