With increasing academic and digital engagement, monitoring student focus and well-being has become essential in educational institutions. Traditional methods lack real-time insights into student behavior and attention levels. This challenge aims to develop an AI-powered system that leverages gaze tracking, behavioral cues, and visual signals to assess engagement, detect distraction, and provide insights into cognitive load and emotional states—enabling timely intervention and improved learning outcomes.