Deep Learning-Based Intelligent Chatbot in a Digital Campus

With the rapid development of artificial intelligence technology, all walks of life have started the process of intelligent construction. The intelligent Q&A system in the field of artificial intelligence has the characteristics of all-weather and intelligent, and exploring the deep integration of intelligent Q&A system and campus business in the process of smart campus construction has practical significance for campus service model innovation. Based on the shortcomings of the traditional information service model, this paper elaborates from the overall framework and core modules of the campus intelligent question and answer system, and summarizes and analyzes its application advantages and subsequent development directions in smart campus services, so as to explore its more application potential and practical value in the field of campus intelligent services. This paper presents the implementation of a digital campus intelligent chatbot using two distinct technologies. The chatbot is made up of three main modules: the chat module, the campus information module, and the virtual teaching assistant module. The Encoder-Decoder framework is used in the chat module, while the campus information module and virtual teaching assistant module prioritize accuracy and employ a retrieval mode. Through the integration of these two modules, employing different technical approaches, the overall user experience for students is significantly enhanced.