ARCHITECTURE OF A GAMIFIED SOFTWARE PLATFORM FOR PREPARING DATA FOR TRAINING AI MODELS

Tumanyan P. I., Saradgishvili S. E.

This article describes the requirements and architecture for creating a multiplayer gamified platform that solves the problem of processing unstructured data to create training datasets for neural network models. The platform architectures are presented and the system's algorithm of operations is described. The gamification engine for performing data preparation tasks plays an important role in the platform. The article presents the structure of the gamification application mechanics and quality control tools, which ensure improving the efficiency of the data preparation process.

Keywords:gamified mechanics, gamification, data markup, training datasets