Virtual Classroom System with Attendance Tracking Andai- Based Lecture Summaries

The rapid growth of online education has transformed the modern learning environment. With the increasing use of digital platforms and internet connectivity, managing virtual classrooms efficiently has become an important challenge for educational institutions. Traditional methods of tracking attendance and preparing lecture notes require manual effort and consume valuable teaching time. This paper proposes an Artificial Intelligence (AI) based virtual classroom system that automates attendance tracking and generates lecture summaries automatically. The system utilizes face recognition technology to identify students and record attendance during online sessions. In addition, speech-to-text technology converts lecture audio into text, and Natural Language Processing (NLP) techniques generate concise summaries of lecture content. The proposed system reduces administrative workload, improves attendance accuracy, and provides students with summarized lecture notes for quick revision. By integrating AI technologies into virtual learning environments, the system enhances the efficiency and effectiveness of online education.