Assessing Emotional Well-being of Students using Machine Learning Techniques

In today's life, emotional wellbeing is an important aspect to be analyzed particularly for school going children. If not properly analyzed, the emotional difficulties may hinder academic, personal and social growth, resulting in a lifetime of difficulties for such individuals. Only when a child is emotionally secure and content, he/she gives their best to every challenge they face. Schools should create a progressive learning environment where academic achievement is related not only to successful learning strategies, but also to good mental well-being. In this paper, we aim to explore the meaning, situation, and parties associated with happiness in children and to deliver the best tool to detect the state of the children's mental health regarding whether they are happy or sad and based on machine learning techniques.