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Design And Implementation Of An Intelligent Clothing Management APP Based On IOS Platform

Posted on:2018-09-28Degree:MasterType:Thesis
Country:ChinaCandidate:J TangFull Text:PDF
GTID:2348330518994802Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With China's economic development and the raising of national consumption,more and more people, especially women, start to buy a lot of clothes. The excess of personal clothes causes the difficulty in wardrobe arrangement, the time wasted in collocation. What is worse, people are easy to forget the clothes they have bought. How to use the current most popular Internet platform to build a personal clothing management system to facilitate individuals managing their own clothes in different seasons, different styles and different categories? How to apply Al technology into the process of automatic collocation? This is the focus of our project.The topic of the thesis is rooted in the actual situation. This is a clothing management application based on the iOS platform. The goal of this application is to provide users with a wardrobe management platform on which users can manage personal information, input all of their clothes and filter their clothes by category. On this foundation, users can realize manual and automatic collocation and then finish the clothing management loop.The thesis is organized by the related background technology, the requirements analysis, the system design, implementation and testing. The thesis describes the overall implementation of this application.The author's job consists of the following five parts.First, the author did research on target users and competing applications, and analyzed the needs of the system. Second, aimed at the needs of the system, the author designed the function modules of the application. The application has four function modules.They are login and personal information management module, photo and the screenshots module, clothing management module and collocation module. Third, with the help of SPSS Modeler, the author did machine learning and algorithm simulation and got intelligent matching results which are as expected. Fourth, by aid of the Xcode and SQLite development tools, the author implemented the functions of the system.Fifth, using the white-box and black-box testing method, the author tested the functions one by one.
Keywords/Search Tags:iOS, application development, clothing management, intelligent matching
PDF Full Text Request
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