Abstract:

Stress disorders are a common issue among working IT professionals in the industry today. With changing lifestyle and work cultures, there is an increase in the risk of stress among the employees. Though many industries and corporates provide mental health related schemes and try to ease the workplace atmosphere, the issue is far from control. This paper presents Image Processing and Machine Learning based Stress Detection in IT Professionals. The main motive of our project is to detect stress in the IT professionals using vivid Machine learning and Image processing techniques. The proposed System Machine Learning algorithms like KNN classifiers are applied to classify stress. Image Processing is used at the initial stage for detection, the employee’s image is given by the browser which serves as input. In order to get an enhanced image or to extract some useful information from it image processing is used by converting image into digital form and performing some operations on it. Our system mainly focuses on managing stress and making the working environment healthy and spontaneous for the employees and to get the best out of them during working hours. The emotions are displayed on the rounder box. The stress level indicating as Angry, Disgusted, Fearful and Sad. Proposed method is efficient in terms of Accuracy, FPR and Precision

Description:

Image processing, Machine Learning, IT Professionals, Stress disorders