Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
Statistics
Login
First page
>
Show document
Show document
Title:
Razvoj agenta umetne inteligence za avtomatiziran vnos podatkov v sistem za upravljanje oglasov nepremičnin : diplomsko delo
Authors:
ID
Polegeg, Gregor
(
Author
)
ID
Kosar, Tomaž
(
Mentor
)
More about this mentor...
ID
Majninger, Sandi
(
Comentor
)
ID
Lukman, Klemen
(
Author
)
Files:
VS_Polegeg_Gregor_2026.pdf
(630,56 KB)
MD5: 5F8327558E4AA22EAC0632BE19A94F44
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 razvoj agenta umetne inteligence za avtomatiziran vnos po- datkov v sistem za upravljanje oglasov nepremičnin. Agent sprejema govorne in pisne vnose v slovenščini ter jih pretvori v strukturirane ukaze za sistem za upravljanje odnosov s strankami. Sistem je zasnovan na mikrostoritveni arhitekturi z upravljanjem konteksta pogovora. Po primerjalni analizi je bil izbran model Qwen 3 235B na infrastrukturi Ce- rebras z odzivnim časom 3–10 sekund. Evalvacija kaže 93–95-% natančnost pretvorbe in 85-% zmanjšanje časa vnašanja v primerjavi z ročnim postopkom.
Keywords:
agenti umetne inteligence
,
veliki jezikovni modeli
,
mikrostoritvena arhi- 
tektura
,
glasovni uporabniški vmesnik
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[G. Polegeg]
Year of publishing:
2026
Number of pages:
1 spletni vir (1 datoteka PDF (IX, 41 str.))
PID:
20.500.12556/DKUM-98547
UDC:
004.8(043.2)
COBISS.SI-ID:
289389059
Publication date in DKUM:
18.08.2026
Views:
219
Downloads:
4
Metadata:
Categories:
KTFMB - FERI
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Average score:
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
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:
19.06.2026
Secondary language
Language:
English
Title:
Development of an artificial intelligence agent for automated data entry in a real estate advertisement management system
Abstract:
The thesis presents the development of an artificial intelligence agent for automated data entry into a real estate listing management system. The agent accepts voice and text input in Slovenian and converts it into structured commands for the customer relationship ma- nagement system. The system is based on a microservice architecture with conversation context management. After a comparative analysis, the Qwen 3 235B model on Cereb- ras infrastructure was selected, achieving a response time of 3–10 seconds. Evaluation shows 93–95% conversion accuracy and an 85% reduction in data entry time compared to manual input.
Keywords:
artificial intelligence agents
,
large language models
,
microservice architec- 
ture
,
voice user interface
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back