Abstract: The practical teaching in Traditional Chinese Medicine (TCM) identification is a crucial pathway for shaping students' abilities in medicinal material identification.However,the traditional teaching model often leads to student fatigue and loss of interest due to the information-dense nature of medicinal materials.To address the problems encountered by undergraduate students during their practical sessionsin the Herbal Market,Nanjing University of Chinese Medicine explores the preliminary application of "Artificial Intelligence (AI)+Big Data" technology in practical teaching.The method integrates image recognition,information-assisted querying,and an interactive feedback mechanism into the teaching process.Supported by AI-assisted tools,it helps students acquire medicinal material identification and market dynamic information.By combining on-site teaching with interactive learning,this approach effectively reduces students' information burden,enhances learning interest,and improves the accuracy of herbal identification.This study also examines the technical and practical challenges encountered during the teaching implementation process,and subsequently put forward corresponding improvement strategies,thus offering referential insights and approaches for the enhancement of practical teaching in Traditional Chinese Medicine identification.