AI for Well-Being: A Short Review on Mental Health Monitoring with Machine Learning
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.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-12
- DOI
- https://doi.org/10.5281/zenodo.14406205
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 0.00