With the advancement of computer graphics technology and the real-time communication capabilities of artificial intelligence, there is growing interest in and greater utilization of digital humans, i.e., virtual human characters. Recently, developments of virtual anchors and guides using digital humans have also been progressing. This study focuses on developing an AI-based digital human named 'Python' to provide information and to promote Dongseo University as an example of the use of rapidly advancing digital human technology. The research aims to implement a digital human system capable of natural conversation and effective interaction and to verify its practical applicability through simulations with actual users. Additionally, it focuses on presenting a cost-effective and accessible development methodology to address the challenges faced by small organizations and businesses in adopting digital human technology. This study applies cutting-edge technologies in the video field, including modeling using Unreal Engine's MetaHuman Creator technology, voice processing using the Convai API, and real-time rendering and animation through the Unreal engine. As a result, we successfully implemented the digital human 'Python', capable of natural conversation and interaction with users, achieving high performance in both speech recognition and response appropriateness. Furthermore, we explored potential applications of digital humans in educational environments, such as campus tour guidance, student Q&A sessions, and personalized learning support. By presenting the production process of digital humans and API application methods and demonstrating them through actual experiences, this study anticipates the applicability and eventual popularization of digital human technology in the education field. It is expected that this will enable innovative learning experiences and efficient information delivery in future educational settings and will further expand the use of digital human technology across various industries.