• A.Saravanakumar
• Leema Roselin George

The employee's mental health has a direct impact on productivity, by factors including work-related challenges, lengthier job durations, toxic collaboration, and cold war amongst coworkers. Another important aspect for employee retention rates in any organization is the individual's mental wellness. In order to maintain their employees' mental health and level of engagement at work, every organization strives to provide a healthy atmosphere. However, the majority of the staff members used diplomacy to resolve their issues. A solution to aid the employees with their mental health is therefore desperately needed. A computer vision solution is proposed to detect the employees' mental health while they are at work and helping them become daily conscious of their mental health utilizing a data analytics dashboard. Additionally, our solution uses a machine learning recommendation system to help users determine when to work and when to rest for increased productivity.

Emotion Detection, Emotion Recogniton

"Employee Emotion Analysis Using Computer Vision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.c28-c31, September-2023, Available :http://www.jetir.org/papers/JETIR2309204.pdf

"Employee Emotion Analysis Using Computer Vision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppc28-c31, September-2023, Available at : http://www.jetir.org/papers/JETIR2309204.pdf