"基于微信小程序云开发的iFace：实现AI变脸与云函数监控"

he front and back ends. The front end is developed using the WXML, WXSS, and JS languages of the WeChat applet, and the back end is developed using cloud functions in a node.js environment to achieve AI face changing in the WeChat applet under serverless cloud functions. System users can use the front-end page by taking photos and selecting photos from the album to access the corresponding functions on their phones. In addition, there is a button to change the style, allowing users to instantly switch to another style. The applet also features functions for sharing with friends and generating special posters, allowing users to forward and post on Moments for a more immersive experience. The backend cloud development console allows administrators to monitor operational analysis and real-time user access, optimizing the entire system environment. This paper introduces the development background and significance, current status of applets, and research content of this project. It also provides an introduction to the relevant knowledge used in the applet, such as cloud development. The design of each page is then analyzed in detail, and the functions and code of the iFace project are explained. Finally, the applet was tested on a real machine to make the data more accurate and feedback more realistic. Keywords: WeChat applet development language, cloud functions, cloud development, AI face changing.