Machine Learning Enhancing Student Mental Health Platforms

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This research explores the role of machine learning (ML) in addressing rising mental health issues among students. It emphasizes early identification through supervised learning models, ethical collaboration, and transparency. Key topics include technical foundations, scalable risk detection systems, and challenges related to privacy and bias. The analysis highlights positive institutional impacts, improved resource allocation, and the potential of human-AI collaboration. Future projections...