Customer
Decision acceptance deadline

07.01.26 (inclusive)

Form of award

Participation in the project

Product status

Idea

Task type

ICT tasks

Сфера применения

обучение

Область задачи

Neurotechnology and artificial Intelligence

Type of product

Software/ IS

Problem description

Most chess platforms provide game analysis in the form of engine estimates and tactical errors, which are difficult for beginners and average players to interpret. There is no systematic analysis of typical strategic mistakes, game patterns, and a chess player's progress over time.

Expected effect

The AI module allows you to translate the "raw" engine data into understandable learning conclusions, identify the weaknesses of the player and form individual recommendations. This accelerates the growth of the level of play, improves the quality of training and reduces dependence on the constant participation of the coach.

Full name of responsible person

Altair Uyzbayev

Purpose and description of task (project)

The module is designed for intelligent analysis of chess players' PGN games on the platform. The system uses machine learning and analysis of large arrays of games to identify typical errors, weak stages of the game (opening, middlegame, endgame), as well as recurring strategic problems. AI generates personalized reports and recommendations for players and coaches.

Note