TeacherEye: An AI-Powered System for Monitoring Student Engagement in Online Education

In online education, maintaining student engagement and academic integrity poses significant challenges. While multiple solutions have been introduced, none have provided a comprehensive system. We introduce TeacherEye, an Artificial Intelligence (AI) powered system for monitoring student behavior and engagement in virtual classrooms and exams. TeacherEye integrates State-Of-The-Art (SOTA) AI models to analyze video data from the webcam stream and audio data from the micro-phone in real time. The system first verifies students through face detection and identification. It then monitors behavior using advanced vision features like sleep detection, multi-person detection, phone usage detection, focus tracking, and emotion recognition. Audio is simultaneously converted to text and analyzed by a Large Language Model (LLM) to detect suspicious behavior, enhancing online exam proctoring. If irregularities are found, a Vision-Language Model (VLM) suggests actions to the teacher, while all detected behavior is logged for review. TeacherEye presents a comprehensive solution for improving engagement and ensuring integrity in online education.