VISUALIZATION OF 3D METADOXES USING THREE.JS

Abstract

The work developed an algorithm and a corresponding application for visualization of a specialized 3D object using the capabilities of the specialized cross-browser library Three.js. The object of the study is the process of creating realistic models of metadocs using theoretical data, which are based on the model of three-vertex metadocs. In the course of the work, options for visualization of 3D modkley metadocs were analyzed with the idea of accessibility for a non-professional user who is a spe- cialist in his subject area, but does not have a sufficient level of programming technologies or does not have the skills to operate specialized software for visualization. The results of the study show that JavaScript with an extension in the form of the Three.js library is a powerful tool for 3D visualization, which, due to its flexibility and browser support capabilities, allows you to create effective and dynamic models of metadocs, which allows you to better understand the dependencies between linguistic objects and transfer the developed constructs to interested parties. The proposed solution can be used to develop educational interactive applications and models that require the integration of real data of arbitrary origin. The identified approaches to organizing the processes of processing and visualization of data for metadocs can be used in the development of virtual metadocs and fractal objects generated by them, taking into account the productivity and realism of the representation. The results obtained can serve as the basis for building more complex models and expanding the functionality of the corresponding applications. Here the question arises of the balance between the complexity of the solution and its accessibility for analysts working in a specific subject area. A separate part of the research was the use of Grok for testing and debugging the application. In this work, artificial intelligence demonstrated the ability to analyze errors detected by the developer in manual mode, and most interestingly, the reworking of the architecture in the case when the detected errors are caused by external factors.