Researchers published a survey‑based, explainable AI model designed to classify student stress affordably and transparently, offering colleges a scalable tool to identify at‑risk students without costly sensors. The study used multiple machine‑learning algorithms with explainability features to surface actionable variables for student‑support teams. Concurrently, the Youth Mental Health Corps deployed near‑peer navigators across schools and communities, reaching thousands of students in its first year. Early evaluations from WestEd show the program connected students with resources and provided a pipeline for young people interested in behavioral‑health careers. Universities and partner K‑12 systems are watching both tech and human‑service approaches to increase detection, referral, and retention efforts as mental‑health demand continues to strain campus counseling centers.