Machine Learning Based Academic Stress Management System

Living with stress has become a part of our lifestyle. Stress is directly linked to cause long-term health problems [1]. Students are no exceptions; they undergo stress and strains in facing new situations, where the outcome is uncertain. Their academic performance is challenged by problems and managing time. Due to overwhelming problems they cannot Figure out their stress causing factors. As it is not possible for a physician to continuously monitor stress levels and diagnose it[5], this proposal deals with identifying the level of stress using wearable bio-sensors and providing constructive actions to be taken to overcome it effectively. We use intelligent Machine learning models to monitor students' lifestyle. The outcome can be used to identify an ideal student who can portray as a role model in improving the academic growth of a student. An ideal student is the one who manages stress as well as obtains good grades in academics.