prikaz prve stranice dokumenta Web aplikacija za preporučivanje i praćenje treninga i prehrane sportaša postupcima strojnog učenja
  Download
PDF 2.16 MB
undergraduate thesis
Web aplikacija za preporučivanje i praćenje treninga i prehrane sportaša postupcima strojnog učenja
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. urn:nbn:hr:200:350887
Ehman, Marko
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Ehman, M. (2024). Web aplikacija za preporučivanje i praćenje treninga i prehrane sportaša postupcima strojnog učenja (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:350887

Ehman, Marko. "Web aplikacija za preporučivanje i praćenje treninga i prehrane sportaša postupcima strojnog učenja." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:350887

Ehman, Marko. "Web aplikacija za preporučivanje i praćenje treninga i prehrane sportaša postupcima strojnog učenja." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:350887

Ehman, M. (2024). 'Web aplikacija za preporučivanje i praćenje treninga i prehrane sportaša postupcima strojnog učenja', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 14 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:350887

Ehman M. Web aplikacija za preporučivanje i praćenje treninga i prehrane sportaša postupcima strojnog učenja [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2025 January 14] Available at: https://urn.nsk.hr/urn:nbn:hr:200:350887

M. Ehman, "Web aplikacija za preporučivanje i praćenje treninga i prehrane sportaša postupcima strojnog učenja", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:350887

Metadata
TitleWeb aplikacija za preporučivanje i praćenje treninga i prehrane sportaša postupcima strojnog učenja
Title (english)Web application for recommending and monitoring training and nutrition for athletes based on machine learning
AuthorMarko Ehman
MentorGoran Martinović (mentor)
Committee memberGoran Martinović (predsjednik povjerenstva)
Committee memberGoran Knežević (član povjerenstva)
Committee memberTomislav Galba (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2024-09-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Cilj završnog rada je razvoj web aplikacije za preporuku i praćenje treninga i prehrane sportaša koji se bave trčanjem i biciklizmom. Aplikacija nudi korisnicima mogućnost procjene fizičke spremnosti, na temelju koje se preporučuje individualizirani plan treninga i prehrane. Korisnici mogu pratiti rezultate svojih treninga putem linijskog dijagrama, dok su konzumirani prehrambeni proizvodi prikazani po obrocima i datumu. Osim osnovnih funkcionalnosti praćenja treninga i prehrane, web aplikacija nudi i elemente društvene mreže. Korisnicima je omogućeno pregledavanje profila drugih korisnika, praćenje rezultata treninga, primanje obavijesti o treninzima i događanjima organiziranim od strane sportskih zajednica te privatna komunikacija među korisnicima. Aplikacija je implementirana korištenjem web okvira Django, dok je korisničko sučelje izrađeno uz pomoć HTML-a, CSS-a, Bootstrapa i JavaScript-a. Na strani poslužitelja korišteni su SQLite baza podataka i Nutritionix API za upravljanje prehrambenim informacijama. Razvoj modela uključuje primjenu strojnog učenja za preporuku treninga i prehrane, dok su glavni algoritmi testirani i vrednovani kroz različite korisničke slučajeve. Dobiveni rezultati potvrdili su ispravan rad aplikacije i njezinu upotrebljivost za krajnje korisnike.
Abstract (english)
The goal of the final paper is the development of a web application for recommending and monitoring the training and nutrition of athletes who are involved in running and cycling. The application offers users the possibility of assessing physical fitness, based on which an individualized training and nutrition plan is recommended. Users can monitor the results of their training via a line diagram, while the food products they consume are displayed by portion and date. In addition to the basic functionality of tracking training and nutrition, the web application also offers elements of a social network. Users can view other users' profiles, track training results, receive notifications about training and events organized by sports communities, and communicate privately with users. The application was implemented using the Django web framework, while the user interface was created using HTML, CSS, Bootstrap, and JavaScript. On the server side, the SQLite database and Nutritionix API were used to manage nutritional information. The development of the model includes the application of machine learning to recommend training and nutrition, while the main algorithms were tested and evaluated through different user cases. The obtained results confirmed the correct operation of the application and its usability for end users.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:350887
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/sveučilišna provostupnik/prvostupnica (baccalaureus/baccalaurea) inženjerka računarstva (sveučilišni/sveučilišna provostupnik/prvostupnica (baccalaureus/baccalaurea) inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-09-16 06:54:12