Stress Detection in it Professionals by Face & Speech

The main motive of our project is to address the pervasive issue of stress among IT professionals by developing an advanced Stress Detection System. Recognizing the detrimental impact of stress on both individual health and organizational performance, our project endeavors to create a solution that offers real-time monitoring and analysis of stress levels. Leveraging machine learning algorithms, particularly KNN classifiers, our system analyzes facial expressions and speech signals to accurately categorize stress indicators. This innovative approach enables proactive identification of stress among IT professionals, facilitating timely interventions and promoting overall mental health and well-being in the workplace. By providing personalized feedback and recommendations, our system aims to empower individuals to manage their stress effectively, ultimately fostering a healthier and more productive work environment.