Problem Statements

CNC-2404

Student health and well-being are crucial for maintaining an optimal learning environment. However, traditional methods of monitoring student health are often reactive, requiring manual intervention only after symptoms are noticed. Many health issues, such as emotional stress, fever, or chronic conditions, develop gradually, making it difficult to identify students who need early intervention. For example, imagine a student in school who is showing signs of stress, but their behavior goes unnoticed. Over time, this can lead to emotional exhaustion or a decline in overall health, affecting their learning performance. Similarly, students may come to school with a fever, potentially spreading illness to others. The challenge is to create a system that can passively monitor students' health and detect early signs of potential health issues, enabling timely intervention.