Stress is the conventional thing in every IT professional. Stress has become a major issue for IT people, due to increased competition, the evolution of various technologies, high demand, targets and prolonged working hours. As per research, 74% of Indians were suffering from stress. Of that, 57% of respondents were suffering from mild stress, 11% were feeling moderately stressed, 4% were facing moderately severe symptoms of stress and 2% reported severe stress. Stress mainly manifests in different factors such as workplace stress, financial issues, working hours, job role, physical & mental exhaustion, anxiety and depression. It is crucial to detect the stress in IT employees and take necessary measures to avoid stress for a healthy and happy life. The major objective to detect stress in IT employees is to lessen the chances of physical and mental exhaustion of IT employees. Recognition of Stress includes various ways like surveys, physiological recordings, digital footprints, wearing biometric devices etc. Machine Learning helps us to discover the stress levels of IT employees efficiently. A survey is carried out involving lecturers, IT professionals, and college students to get insights into managing stress levels. The machine learning model is trained and tested with heterogeneous machine learning algorithms. The model is deployed using one of the famous frameworks i.e., Flask. By this model, IT employees can find out their stress levels. A chatbot is integrated to give suggestions to supervise stress in IT employees using the Tidio App.