The growing number of college students experiencing depression and anxiety has become a big worry for public health, especially in busy academic settings like those in Coimbatore District. Spotting these issues early and acting quickly is very important to stop them from getting worse. In this situation, Artificial Intelligence (AI) has a big role to play in helping find signs of mental health problems early on. This study looks at how AI tools such as machine learning, natural language processing and predictive analytics can help detect early signs of depression and anxiety in college students. These AI systems can study things like behavior, social media activity, the way people speak and physical responses to spot students who might be at risk. The study uses a descriptive research design and focuses on students from Arts and Science colleges in Coimbatore District. It aims to understand how aware students are of AI tools, what they think about them and whether they accept them for mental health checks. Data will be gathered through questionnaires and then analyzed using statistical methods to see how using AI relates to better early diagnosis. The results are likely to show how AI can help improve mental health support on campus, make people feel better emotionally and reduce the shame people feel about mental health problems. Overall, the study shows how important it is to use AI in student counseling systems to create a more proactive and data-based way of looking after mental health in higher education.
Artificial Intelligence, Early Detection, Depression, Anxiety among College Students.
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