AI pomoćnik za personalizirano vježbanje

undergraduate thesis

• Title (english): AI Assistant for Personalized Training
• Author: Dominik Zoričić
• Mentor: Tomislav Jagušt (mentor)
• Committee member: Tomislav Jagušt (predsjednik povjerenstva)
• Committee member: Bartol Boras (član povjerenstva)
• Committee member: Ema Smolić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2024-07-08, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U sklopu ovog završnog rada razvijena je aplikacija za izradu personaliziranih trening programa te pružanje raznovrsne pomoći u vođenju trenažnog procesa korištenjem umjetne inteligencije. Implementacija i integracija umjetne inteligencije u web aplikaciju provedena je korištenjem popularnog OpenAI API-a, koju nudi moćne gotove AI modele i ima ključnu ulogu u radu aplikacije. Kroz rad je detaljno opisan postupak povezivanja i komunikacije implementiranog poslužitelja i API-a.
Cilj rada bio je iskoristiti napredne i inteligentne metode umjetne inteligencije kako bi se korisnicima bez prethodnog iskustva i znanja, omogućilo jednostavno kreiranje i praćenje treninga ili drugih tjelesnih aktivnosti. U radu je opisana arhitektura sustava, implementacija programskih rješenja te korištenje aplikacije i prikaz svih njenih funkcionalnosti.

Abstract (english)

As part of this final work, an application was developed for creating personalized training programs and providing a variety of assistance in managing the training process using artificial intelligence. The implementation and integration of artificial intelligence in the web application was carried out using the popular OpenAI API, which offers powerful ready- made AI models and plays a key role in the operation of the application. The paper describes in detail the connection and communication procedure of the implemented server and API.
The goal of the work was to use advanced and intelligent methods of artificial intelligence to enable users without previous experience and knowledge to easily create and monitor training or other physical activities. The paper describes the architecture of the system, the implementation of software solutions and the use of the application and the presentation of all its functionalities.

• Keywords: React.js; Ruby on Rails; PostgreSQL; Umjetna inteligencija; AI; OpenAI API; fitness; personalizirani treninzi
• Keywords (english): React.js; Ruby on Rails; PostgreSQL; Artificial Intelligence; AI; OpenAI API; fitness; personalized trainings
• Language: croatian
• URN:NBN: urn:nbn:hr:168:253491
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2024-10-12 22:33:27