Building a well-rounded teaching resource platform for art design majors is essential for improving the quality and accessibility of educational materials. In this research, we used an innovative method, the LSTM-CRF model, to better understand what learners need and match these needs with relevant teaching materials. We also developed a new way to evaluate the effectiveness of our teaching resources, using an intelligent algorithm to find out how good the content really is. Our findings show that our resources score highly in areas like the quality of content, how often it’s updated, how personalized it is, and how well it’s promoted, with scores of 4.29, 4.24, 4.24, and 4.25, respectively. Interestingly, we found that student satisfaction varies significantly by their year in school and where they come from. This research not only sets the stage for future advancements in teaching resources for art and design but also suggests ways to make these resources even better.