MEGA SILK WAY SHOPPING MALL MOBILE APPLICATION

Simple item page
dc.contributor.authorKengesbek, Anuar
dc.contributor.authorOmarbekov, Alisher
dc.contributor.authorDaurenuly, Dias
dc.contributor.authorRysbekov, Dias
dc.date.accessioned2024-06-22T10:19:38Z
dc.date.available2024-06-22T10:19:38Z
dc.date.issued2024-04-19
dc.description.abstractNavigating the Mega Silk Way shopping mall is not an easy task with available applications, especially for unfamiliar visitors. Our mobile application written in Flutter and incorporating image and audio recognition machine learning techniques allows users to easily determine their location, browse through hundreds of shops within their categories, and provides the shortest possible path to their desired destination.en_US
dc.identifier.citationKengesbek, A., Omarbekov, A., Daurenuly, D., Rysbekov, D. (2024). Mega Silk Way Shopping Mall Mobile Application. Nazarbayev University School of Engineering and Digital Sciencesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7945
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectMobileen_US
dc.subjectFlutteren_US
dc.subjectMachine Learningen_US
dc.subjectNavigationen_US
dc.subjectType of access: Open Accessen_US
dc.titleMEGA SILK WAY SHOPPING MALL MOBILE APPLICATIONen_US
dc.typeBachelor's thesisen_US
workflow.import.sourcescience

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Final_Report_final (1).pdf
Size:
4.37 MB
Format:
Adobe Portable Document Format
Description:
Final Report
Download

Collections

03. Bachelor's Thesis