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

Chess training programs are often based on a template principle and do not take into account the individual characteristics of the player: the style of play, typical mistakes, the level of tactical and strategic thinking. This reduces the effectiveness of training and slows down progress.

Expected effect

The AI module generates a personal learning trajectory for each chess player, automatically selecting tasks, topics and games for analysis. This allows you to accelerate the growth of the rating, increase student engagement and optimize the work of coaches.

Full name of responsible person

Altair Uyzbayev

Purpose and description of task (project)

The project is aimed at creating an AI mentor who analyzes a chess player's game data (games, tactical tasks, rating dynamics) and forms an individual training plan. The AI uses recommendation algorithms and learning from historical player data, automatically suggesting tasks, topics, and games that best match the student's current level and goals.

Note