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Title:Mobilna aplikacija za sestavljanje osebnih programov telesne vadbe
Authors:ID Šincek Nedeljković, Domen (Author)
ID Verber, Domen (Mentor) More about this mentor... New window
Files:.pdf VS_Sincek_Nedeljkovic_Domen_2025.pdf (2,60 MB)
MD5: AC773848C51186F511F06F07882FDAEF
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo obravnava načrtovanje in razvoj mobilne aplikacije za sestavljanje osebnih programov telesne vadbe. Na osnovi analize strokovne literature in obstoječih aplikacij smo opredelili ključne parametre, ki so potrebni za ustrezno personalizacijo telesne vadbe, ter potrebne funkcionalnosti, kot so upoštevanje razpoložljive opreme, počutja in morebitnih poškodb, animiran prikaz izvajanja vaj in prikaz aktiviranih mišičnih skupin posameznega programa in vaje. Aplikacija vključuje tudi podporo na osnovi umetne inteligence za odgovore na morebitna vprašanja uporabnika. Razvoj je potekal v .NET MAUI z uporabo MySQL baze.
Keywords:telesna vadba, mobilna aplikacija, umetna inteligenca, .NET MAUI
Place of publishing:Maribor
Publisher:[D. Šincek Nedeljković]
Year of publishing:2025
PID:20.500.12556/DKUM-93430 New window
UDC:004.8:[355.233.2:796/799](043.2)
COBISS.SI-ID:253155843 New window
Publication date in DKUM:04.09.2025
Views:173
Downloads:46
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:26.06.2025

Secondary language

Language:English
Title:Mobile application for creating personal workout programs
Abstract:This thesis focuses on the design and development of a mobile application for creating personal workout programs. Based on an analysis of scientific literature and existing applications, we identified the key parameters required for effective workout personalization, as well as essential features such as considering available equipment, user well-being and potential injuries, animated exercise demonstrations and visualizations of the muscle groups used by each program and exercise. The application also includes artificial intelligence based support to answer potential user questions. Development was carried out in .NET MAUI using a MySQL database.
Keywords:physical exercise, mobile application, artificial intelligence, .NET MAUI


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