AUTOMATIC GENERATION OF PERSONALIZED TRAINING PROGRAMS BASED ON THE ANALYSIS OF BIOMETRIC DATA USING ARTIFICIAL INTELLIGENCE
DOI: 10.31673/2786-8362.2024.023847
Abstract
This article explores the development of an automated system for generating personalized workout
programs based on the analysis of users' biometric data using artificial intelligence methods. The primary
objective of the research is to create an intelligent web application capable of adapting training plans
according to individual physical characteristics and goals. To achieve this, a large dataset of biometric
information was collected and analyzed, and machine learning models were developed and trained to ensure
the accuracy and effectiveness of the recommendations. The outcome of this work is a functional prototype
of a web application that demonstrates high quality and adaptability of the generated workout programs.
The article also discusses potential directions for further system enhancement, including integration with
wearable devices and expanding functionality for more in-depth user data analysis.
Keywords: personalized workouts, biometric data, artificial intelligence, machine learning, web
application, automation
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