Analiza osobne potrošnje skeniranjem računa

master's thesis

• Title (english): Personal spending analysis by invoice scanning
• Author: Nimai Vadas
• Mentor: Krešimir Fertalj (mentor)
• Committee member: Krešimir Fertalj (predsjednik povjerenstva)
• Committee member: Vedran Mornar (član povjerenstva)
• Committee member: Mario Brčić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-07-05, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Ovaj rad opisuje razvoj aplikacije za praćenje potrošnje koja koristi skeniranje računa za brži unos informacija. Prvo je provedena analiza postojećih rješenja iz ovog područja, zatim su specificirani zahtjevi aplikacije. Provedena je i analiza postojećih usluga i tehnologija za skeniranje računa. Nakon toga se detaljno opisuje arhitektura rješenja te se prolazi kroz sve funkcionalnosti aplikacije počevši od prvog korištenja.
Aplikacija omogućava skeniranja računa iz trgovine te izvlačenje bitnih informacija iz njega i tako pojednostavljuje praćenje osobne potrošnje korisnika. Omogućena je normalizacija proizvoda po barkodovima te praćenje statistike potrošnje po vremenskim periodima, proizvodima, trgovinama i kategorijama proizvoda.

Abstract (english)

This paper describes the development of a spending analysis application that uses receipt scanning for faster data entry. First, an analysis of existing solutions in this area was conducted, then application requirements were specified. An analysis of existing receipt scanning services and technologies was also conducted. After that, the architecture of the solution is described in detail and we go through all the functionalities of the application starting from the first use.
The application enables the scanning of invoices from the store and the extraction of important information from it, thus simplifying the tracking of users' personal spending. It is possible to normalize products by barcodes and monitor spending statistics by time periods, products, stores and product categories.

• Keywords: Kotlin; Android; OCR; mobilna aplikacija; potrošnja; statistika potrošnje; skeniranje računa
• Keywords (english): Kotlin; Android; OCR; mobile application; spending; spending statistics; receipt scanning
• Language: croatian
• URN:NBN: urn:nbn:hr:168:411280
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 10:10:46