In the modern world, artificial intelligence (AI) technologies are increasingly being integrated into the field of sports and fitness, creating new opportunities for personalizing the training process. This article presents the concept and implementation of a personalized fitness trainer based on AI, designed to automatically monitor the correctness of exercise execution. The trainer uses computer vision technologies such as MediaPipe and BlazePose to recognize user body movements in real time, assess exercise technique, and provide tailored recommendations. The software architecture is described, including stages of data collection, normalization, and analysis using pre-trained models. The effectiveness of the proposed solution is evaluated, demonstrating its potential to reduce injury risks and enhance user motivation through real-time visual and audio feedback. The developed system is intended for both professional athletes and fitness enthusiasts aiming to improve their physical performance. The introduction of such AI-based solutions contributes to the accessibility of high-quality training support and promotes the development of healthy lifestyle habits.

ULITIN D.V.

PhD, docent, Aktobe Regional University named after K. Zhubanov, Aktobe, Kazakhstan

Е-mail: akereyev@zhubanov.edu.kz, https://orcid.org/0000-0002-8283-5807

ULITIN D.V.

Director, LLP «Ironbars», Aktobe, Kazakhstan

Е-mail: Ulitin.1988@bk.ru, https://orcid.org/0009-0004-6877-3277

DUIMUKHANOV N.M.

Master, head of commercialization office, Aktobe Regional University named after K. Zhubanov, Aktobe, Kazakhstan

Е-mail: n.d_akt@mail.ru, https://orcid.org/0009-0002-9279-5244

RAMANKULOV A.A.

Doctoral student, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan

Е-mail: ashat-9595@mail.ru, https://orcid.org/0009-0000-4309-7760

RAMANKULOV A.A.

Master's student, Aktobe Regional University named after K. Zhubanov, Aktobe, Kazakhstan

Е-mail: zambulovsultanbek@gmail.com, https://orcid.org/0009-0004-8313-7842

1. Zhou H., Li Y., Wang J. Artificial Intelligence in Sports: A Systematic Review // Journal of Sports Analytics. – 2021. – Т. 7, №3. – С. 215–230.
2. Mathur A., Ramesh M. Real-time Pose Estimation Using BlazePose for Exercise Evaluation // International Journal of Computer Vision and Image Processing. – 2020. – Т. 10, №2. – С. 45–56.
3. Wang J., Chen Y., Hao S., Peng X., Hu L. Machine Learning for Physical Activity Recognition: A Review // ACM Computing Surveys. – 2019. – Т. 51, №3. – С. 1–36.
4. Introducing BlazePose: On-device Real-time Pose Detection [Electronic resource] // Google AI Blog. – 2020. – URL: https://ai.googleblog.com/2020/08/introducing-blazepose-on-device-real.html (date of request: 22.04.2025).
5. Panch T., Mattie H., Atun R. The ‘inconvenient truth’ about AI in healthcare // npj Digital Medicine. – 2019. – Т. 2, №1. – С. 77.
6. Manea L., Popescu D. AI-Based Feedback in Virtual Fitness Coaches // Sensors. – 2021. – Т. 21, №18. – С. 6035.
7. Chen K., Chan C. Sensor-Based Smart Fitness Systems // Journal of Ambient Intelligence and Humanized Computing. – 2022. – Т. 13. – С. 3329–3343.
8. Applications of AI in Motion Tracking and Pose Recognition [Electronic resource] // OpenAI Research Papers. - 2023. - URL: https://openai.com/research/pose-recognition (date of request: 22.04.2025).
9. Богомолов А. И., Невежин В. П., Жданов Г. А. Креативный интеллект и экспертные системы в мобильной медицине.
10. Иванцов П. П., Лукьянов А. Б., Лукьянов Б. Г., Степанов В. С. Креативный интеллект в спортивной подготовке: монография. – СПб: Изд-во СПбГИКиТ, 2021.
11. Simpson B., et al. What Is Performance Analysis in Sports? Review and Recommendations for Future Research // Journal of Sports Analytics. - 2019. - Vol. 5. - P. 1-21.

artificial intelligence, fitness trainer, personalized workout, computer vision, machine learning, movement monitoring, sports technologies, exercise technique analysis