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AI for Well-Being: A Short Review on Mental Health Monitoring with Machine Learning

I.V. Dwaraka Srihith

Abstract


This study focuses on using cutting-edge machine learning and image processing techniques to better understand mental health within the human body. Unlike earlier systems that lacked real-time monitoring or personalized care, this approach takes things a step further by offering live detection and regular health check-ins for employees. It not only identifies physical and mental health challenges but also provides tailored solutions through simple survey-based feedback. The goal is to create a healthier, more productive work environment where employees feel supported. By proactively monitoring well-being, the system ensures timely intervention and promotes balanced mental health management. It’s about more than just tracking it’s about fostering a workplace where employees thrive, combining technology and care to help everyone perform at their best.


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References


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