Case Study: Proko achieves faster art drawing evaluation with Azoft's AI-driven EdTech solutions

A Azoft Case Study

Preview of the Proko Case Study

Proko rates drawings on a 5-point scale with Azoft

The online art school Proko, founded by artist and teacher Stan Prokopenko, faced a significant scaling challenge as its student base grew. The manual process of reviewing and rating student artwork became excessively time-consuming. Proko turned to the vendor Azoft to explore how artificial intelligence could automate these routine educational tasks.

Azoft developed a series of AI-driven EdTech solutions using machine learning and neural networks. They created algorithms to rate portrait drawings on a 5-point scale, check perspective correctness in street drawings, and automatically correct errors in parallelepiped drawings, for which they also built a dedicated web application. The solutions saved significant time for both teachers and students by automating the checking of standard errors. Azoft and Proko are collecting user feedback to further refine the algorithm's performance and accuracy.


View this case study…

Azoft

72 Case Studies