Paper Key : IRJ************862
Author: Khushal Samadhan Chavan
Date Published: 19 Oct 2023
Abstract
In this paper there will be a study aimed to understand the relation between the mental health and academic performance among college and university students using data analytics ,full stack development and machine learning. The researchers collected the data from students between the ages of 18-25 enrolled in many different and different courses. They examined the student's academic and educational year performance , measured through their pointer means average Cumulative Grade Point CGPA ,and their experiences with anxiety. The study found that many students experience anxiety when they are feel like they may not achieve their academic or non-academic goals. However , anxiety can sometimes motivate students to think more critically about how to achieve their objective. A number of many different students cope with anxiety in different ways, and some students may struggle with it effectively. This struggle can lead to symptoms that affect their mental health . When will identify several risk factors for anxiety, depression and stress among college students. Work load work poor sleep quality and fatigue were found to be risk factor for anxiety and depression ,while experiencing low grade fever and frequent headaches were risk factors for stress and anxiety. In this paper will be find in every sector students which reasons they are depressed and which types of problems they are facing and suffering and student the and research deeply. Additionally, comprehensive intervention strategies should be developed to support students who are experiencing anxiety and related mental health issues. By providing appropriate support and interventions, institutions can help students effectively manage their mental health and persist in their studies.