Kolevska, Marija and Blazheska-Tabakovska, Natasha (2025) Knowledge-based Decision Support System for Personalised Training. In: 15th International Conference on APPLIED INTERNET AND INFORMATION TECHNOLOGIES (AIIT 2025), 7.11.2025, Bitola, N.Macedonia.
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Abstract
Modern lifestyles and increased awareness of healthy living highlight the need for
personalised fitness and nutrition plans. However, designing such plans remains complex,
requiring the integration of diverse biometric data and individualised goals. This paper
presents a Knowledge-Based Decision Support System (KDSS) that automates the
generation of weekly personalised exercise and dietary recommendations. By analysing
parameters such as height, weight, body water percentage, and protein intake, the system
employs predefined rules and inference mechanisms to tailor guidance aligned with user
objectives, including weight loss, maintenance, or muscle gain. The KDSS bridges the gap
between general health guidelines and individualised interventions, offering intelligent,
goal-specific support. Its architecture and reasoning framework are designed to deliver
accurate and actionable plans, facilitating user motivation and adherence. Validation
experiments confirm the system’s effectiveness in supporting health and fitness outcomes.
The proposed solution not only streamlines the planning process but also offers scalability
for integration with wearable devices and real-time data analytics. This approach provides
practical value for both end users and fitness professionals, contributing to improved
quality of life through informed, personalised decision-making. The objective of this paper
is to evaluate and develop a Knowledge-Based Decision System that will automatically
generate personalised weekly exercise plans based on individual parameters.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Information and Communication Technologies |
| Depositing User: | Mrs Natasha Blazheska-Tabakovska |
| Date Deposited: | 23 Dec 2025 14:28 |
| Last Modified: | 23 Dec 2025 14:28 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/11296 |
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