Published Paper Details:

Mental health includes humans emotional, psychological, and social well-being. It changes the way people perceive, believe, and continue to act. Understanding how individuals respond to stress, interact with others, and make decisions is also important. From childhood and adolescence to maturity, maintaining one's mental health is essential. Adults have a wide range of needs and coping ability for stressful situations. Many adolescents will either have accepted the restriction and school closings brought on by the epidemic scenario effectively. This research study aims to identify and evaluate recent studies on mental health. As an example, several students will return to the classroom having gone through a certain amount of stress, worry, loneliness, and sadness. Some people could have seen an increase in domestic violence. Teachers and staff at the school play an important part in helping students adjust to learning in the physical classroom afterwards, especially during long periods of time of school closure. According to official statistics provided by the World Health Organization (WHO), mental illness accounts for 90% of suicides in high-income economies. Additionally, recent research found that individuals with mental illnesses frequently disclose these conditions on social media as a form of consolation. Therefore, the primary goal of this work is to analyse the mental health of the students and teachers sequentially across time and identify those adolescents who may be at risk for depression as soon as possible. The state of a person's mental health is predicted by a machine learning algorithm, and the algorithm's effectiveness is assessed using common metrics like accuracy.