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undergraduate thesis
Automatska provjera diktata korištenjem Google ML Kita
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:410286
Dulibić, Marta
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Dulibić, M. (2022). Automatska provjera diktata korištenjem Google ML Kita (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:410286

Dulibić, Marta. "Automatska provjera diktata korištenjem Google ML Kita." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:410286

Dulibić, Marta. "Automatska provjera diktata korištenjem Google ML Kita." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:410286

Dulibić, M. (2022). 'Automatska provjera diktata korištenjem Google ML Kita', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:410286

Dulibić M. Automatska provjera diktata korištenjem Google ML Kita [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 August 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:410286

M. Dulibić, "Automatska provjera diktata korištenjem Google ML Kita", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:410286

Metadata
TitleAutomatska provjera diktata korištenjem Google ML Kita
Title (english)Automatic dictation check using Google ML Kit
AuthorMarta Dulibić
MentorBoris Milašinović (mentor)
Committee memberBoris Milašinović (predsjednik povjerenstva)
Committee memberDanijel Mlinarić (član povjerenstva)
Committee memberJuraj Dončević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Sažetak U ovom je radu opisana izrada i organizacija mobilne aplikacije My Spelling Buddy. Svrha aplikacije je da služi kao pomoćni alat pri vježbanju pisanja diktata te tako pomaže pri poboljšavanju pravopisnih i gramatičkih znanja korisnika. Sučelje aplikacije je jednostavno i intuitivno te je stoga pogodna za korištenje za sve dobne skupine. Glavna funkcionalnost aplikacije je automatsko ispravljanje teksta diktata te prikaz napravljenih pogreški. Za ostvarivanje automatskog ispravljanja diktata i skeniranje QR koda korišten je Google ML Kit, mobilni SDK koji implementacijom algoritama iz strojnog i dubokog učenja rješava probleme vezane za vid i prirodni jezik. Aplikacija je napisana za operacijski sustav Android te je korišten programski jezik Kotlin radi sažetosti koda i lake čitljivosti. Kao baza podataka, korišten je Firebase radi jednostavnosti implementacije i održavanja bez potrebe za pisanjem vlastitog backend servisa.
Abstract (english)
This paper describes the development and organization of the mobile application My Spelling Buddy. The purpose of the application is to serve as an assistant learning tool for practicing dictation writing and thus helps to improve the spelling and grammar knowledge of the users. The application interface is simple and intuitive and therefore convenient to use for all age groups. The main functionality of the application is the automatic correction of dictation text and the display of made errors. The Google ML Kit, a mobile SDK that solves vision and natural language problems by implementing algorithms from machine and deep learning, was used to achieve automatic dictation correction and QR code scanning. The application was built for the Android operating system and the Kotlin programming language was used because of its code conciseness and great readability. Firebase was used as the database because of its ease of implementation and maintenance without the need of writing your own back end service.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:410286
Study programmeTitle: 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 resourceText
File originBorn digital
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Created on2023-01-15 10:03:03