This paper presents the development of an AI-based assessment and recommendation system for Shaanxi calligraphy and painting art resources. The system integrates machine learning, deep learning, and knowledge graph technologies to extract features, evaluate quality, conduct comprehensive assessments, and provide personalized recommendations for calligraphy and painting artworks. Experimental results demonstrate that the system outperforms traditional methods in terms of recommendation accuracy, diversity, and user satisfaction, offering new avenues for the intelligent utilization of Shaanxi calligraphy and painting art resources. This system holds significant value in promoting the dissemination of excellent traditional culture and facilitating the development of the art industry.