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Artificial Intelligence (AI) is revolutionizing the field of healthcare, and mental health is no exception. With the increasing prevalence of conditions such as depression, anxiety, and stress-related disorders, the need for effective monitoring systems has become critical. Traditional methods often rely on clinical interviews, self-reports, and observations, which can sometimes be subjective and limited. AI introduces new opportunities by enabling continuous, data-driven, and personalized monitoring. Through advanced techniques such as natural language processing, machine learning, and deep learning, AI can analyze diverse data sources, including speech, facial expressions, social media activity, and wearable device outputs. This allows for early detection of symptoms and more accurate assessments. The integration of AI into mental health monitoring not only enhances diagnostic accuracy but also provides scalable solutions for reaching larger populations. By shifting from reactive tr...