The global pandemic has profoundly impacted various aspects of human life, including education. One of the significant challenges faced by students during this period was organizing and accessing educational documents remotely. To address this issue, we propose an AI-driven system integrated with a chatbot. This study introduces a smart knowledge management system that begins with user authentication via face recognition. Leveraging libraries such as OpenCV, TensorFlow, and Face_Recognition, our system achieves high accuracy in face recognition, with Face_Recognition library chosen for its superior performance. The chatbot component facilitates seamless searching and accessing of study materials such as notes, textbooks, and question banks stored in a designated folder accessible through hyperlinks. To enhance usability, a user-friendly graphical interface (GUI) is developed using the Tkinter library. This AI-powered smart knowledge management system effectively streamlines access to required documents, providing a robust solution for educational document management in a post-pandemic era.

AI, chatbot, smart knowledge management, face recognition, OpenCV, Tensor Flow, educational technology, document retrieval