| dc.description.abstract | Stress is a prevalent issue that affects all of us at some
point in our lives. The most common sort of stress that university
students suffer is academic stress. This has a huge possibility of
harming a university student's academic performance.
According to the research findings stress is caused due to
assignments on time submission, GPA Values, Modular Grades,
and Loss of Hopes and Ambitions. Also, the personal coping
mechanisms used by university students to manage academic
stress are listening to music, watching videos, being motivated,
and working hard, and wishful positive thinking. Moreover, the
data gathered shows that there is a significant relationship
between the ability to manage stress levels, gender, academic
year, or university type of undergraduate students. Academic
stress has become a part of university students' lives; at times,
it encourages them to improve themselves and work hard; at
other times, it has become a burden when they are unable to
manage it. So, therefore, this research paper is concerned with
proposing a system to detect stress levels and manage academic
stress of university students through stress- releasing
mechanisms that will assist university students in reducing
stress levels caused due to many factors using various
strategies. This proposed system uses Emotional Artificial
Intelligence to detect students' emotions and identifies stress
levels through Text Input (natural language processing),
audio (voice emotion AI), video (facial movement analysis,
physiological signals, and other factors), and system assists
university students for various stress reduction techniques | en_US |
