This project combines the current trend of "big data", based on the "calligraphy and painting class" app, uses front-end html, javascript technology and internet platform, integrates some data ports, deeply integrates calligraphy with internet platform and big data analysis, and combines six different forms of AI literacy, AI writing and AI evaluation through stroke order query, copybook generation and calligraphy collection, the famous calligrapher's handwriting, style and other related content is connected to the software, and on this basis, the use of image recognition technology, image segmentation technology, etc. will be the practitioners copy works for comparison, detailed, data-based comparison results are given, and analysis of problems and deficiencies, in order to improve the practitioners calligraphy writing ability intuitive, systematic to provide useful reference. The calligraphy and painting class app can be opened through WeChat applet, in which six parts, namely, stroke order query, copybook generation, calligraphy collection, AI literacy, AI writing and AI evaluation, form the main page of the project. It looks simple, clear, and easy to use. This small program is a completely public welfare project. It is aimed at all users who are interested in calligraphy. Only searching the small program "calligraphy and painting class" can enter the page. This program provides various functions such as stroke order query, copybook generation, calligraphy collection, AI literacy, AI writing and AI evaluation. It connects the handwriting, style and other related contents of famous calligraphers into the program and copies and analyzes the works of users, detailed data comparison of the results, analysis of problems and deficiencies and proposed solutions to provide users with intuitive, systematic reference. This project makes a systematic and detailed comparison between the fonts copied by the practitioners and the fonts of the calligraphers. It provides the copyists with intuitive and data-based comparison information by calculating the skeleton of the center of gravity of strokes, glyphs and text strokes. It is easier to improve the writing quality and ability of the practitioners by scoring each copied word. Innovation points: 1. starting point innovation: combined with the trend of "big data" today, to provide a simple and efficient platform for college students and calligraphy lovers. 2. method innovation: use front-end html, javascript technology and internet platform, integrate some data ports, image recognition technology, image segmentation and other technologies to process the project 3. noun innovation: this topic introduces culture, AI, calligraphy and other terms, which makes it easier for us to understand our learning methods and measures of calligraphy under big data.