Research on the Construction and Application of Smart Classroom Teaching Service Platform Based on Big Data

In order to solve the problems of the independence of online autonomous learning and live teaching, and the lack of data analysis on the website of excellent courses, this paper studies and designs an intelligent teaching service platform based on Django + Vue framework. The platform adopts B2B2C online education mode, and designs four functional systems based on PC and mobile terminals, including student terminal, lecturer terminal, enterprise terminal and platform terminal. The platform uses Python as the data processing language, through the user's behavior, using collaborative filtering recommendation algorithm modeling, to provide personalized recommendation for users. By using data visualization technology and data mining technology, the learning progress and knowledge mastery of students are visualized. The project can provide high-quality free online course resources for student users. Improve the learning effect of students, while bringing traffic to the one-to-one teaching business line of enterprises, help to increase the conversion rate of paying users, and is of great significance to the realization of the whole online education ecological closed-loop.