Personal outfit finder mobile application / Nor Irliani Md Rosli

Personal Outfit Finder Mobile Application is an application that interacting with large and complex information spaces on mobile platform. The main domain of this application is outfit. The noun outfit mean clothes that go together, like a shirt and pants that becomes vital to wear in daily life. Mo...

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Bibliographic Details
Main Author:	Md Rosli, Nor Irliani
Format:	Thesis
Language:	English
Published:	2022
Subjects:	QA Mathematics Mobile computing Application software
Online Access:	https://ir.uitm.edu.my/id/eprint/59168/1/59168.pdf
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id	my-uitm-ir.59168
record_format	uketd_dc
spelling	my-uitm-ir.591682022-06-20T07:54:34Z Personal outfit finder mobile application / Nor Irliani Md Rosli 2022-01 Md Rosli, Nor Irliani QA Mathematics Electronic Computers. Computer Science Mobile computing Application software Personal Outfit Finder Mobile Application is an application that interacting with large and complex information spaces on mobile platform. The main domain of this application is outfit. The noun outfit mean clothes that go together, like a shirt and pants that becomes vital to wear in daily life. Mobile application is an important part of many online e-commerce applications such as Amazon.com, Netflix, and Pandora. This wealth of practical application experience has provided inspiration to researchers to extend the reach of recommender systems into new and challenging areas. Nowadays, many applications on online website such as Instagram, Facebook and twitter become a popular platform to business field. Otherwise, the problem here is there are a lot of shops in Instagram that people have to search for their own needed. Hence, it is difficult to the user on making decision. The purpose of the project in this special issue is to focus for scraping online stores on Instagram then user can choose any retailers to browse their clothes via online. With the development of this application, users can easily view clothes via online without ambiguous of shop that would be scammed. Other than that, user can easily know which retails provide that kind of clothes instead of they need to go walk in shop by shop just to fulfil their needed and save their time. Research methodology mainly explains about the development process, application architecture, data collection, and software and hardware requirement that will be involved with this project development. Conclusion, this project limitation is the lack of data updates. Currently, this application only can display all the shops in Instagram. The process cannot make any purchases or directly go to the business profile account. 2022-01 Thesis https://ir.uitm.edu.my/id/eprint/59168/ https://ir.uitm.edu.my/id/eprint/59168/1/59168.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Mohamad, Masurah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohamad, Masurah
topic	QA Mathematics QA Mathematics Mobile computing Application software
spellingShingle	QA Mathematics QA Mathematics Mobile computing Application software Md Rosli, Nor Irliani Personal outfit finder mobile application / Nor Irliani Md Rosli
description	Personal Outfit Finder Mobile Application is an application that interacting with large and complex information spaces on mobile platform. The main domain of this application is outfit. The noun outfit mean clothes that go together, like a shirt and pants that becomes vital to wear in daily life. Mobile application is an important part of many online e-commerce applications such as Amazon.com, Netflix, and Pandora. This wealth of practical application experience has provided inspiration to researchers to extend the reach of recommender systems into new and challenging areas. Nowadays, many applications on online website such as Instagram, Facebook and twitter become a popular platform to business field. Otherwise, the problem here is there are a lot of shops in Instagram that people have to search for their own needed. Hence, it is difficult to the user on making decision. The purpose of the project in this special issue is to focus for scraping online stores on Instagram then user can choose any retailers to browse their clothes via online. With the development of this application, users can easily view clothes via online without ambiguous of shop that would be scammed. Other than that, user can easily know which retails provide that kind of clothes instead of they need to go walk in shop by shop just to fulfil their needed and save their time. Research methodology mainly explains about the development process, application architecture, data collection, and software and hardware requirement that will be involved with this project development. Conclusion, this project limitation is the lack of data updates. Currently, this application only can display all the shops in Instagram. The process cannot make any purchases or directly go to the business profile account.
format	Thesis
qualification_level	Bachelor degree
author	Md Rosli, Nor Irliani
author_facet	Md Rosli, Nor Irliani
author_sort	Md Rosli, Nor Irliani
title	Personal outfit finder mobile application / Nor Irliani Md Rosli
title_short	Personal outfit finder mobile application / Nor Irliani Md Rosli
title_full	Personal outfit finder mobile application / Nor Irliani Md Rosli
title_fullStr	Personal outfit finder mobile application / Nor Irliani Md Rosli
title_full_unstemmed	Personal outfit finder mobile application / Nor Irliani Md Rosli
title_sort	personal outfit finder mobile application / nor irliani md rosli
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/59168/1/59168.pdf
_version_	1783735020079284224

Personal outfit finder mobile application / Nor Irliani Md Rosli

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