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Abstract: The swift increasing number of mental health challenges worldwide demands prompt development of contemporary and extensiveproactive solutions for managing mental health. This paper researches how AmI combines with AI capabilities to alter mental healthtracking as well as intervention approaches. The paper provides an in-depth examination that explains the basic concepts of AmItogether with its applications for mental health surveillance and proactive intervention delivery. The study analyzes the processingof mental health diagnostic information from physiological and behavioral elements with contextual factors yet examines the needfor explaining AI models while ensuring ethical use and fairness of AI diagnostics.