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Shazam Outfit: A Mobile Game Application That Brings Out One's Identity through Outfits Using Artificial Intelligence / Morales, Clivette Kathryn T. and Ocampo, Kristelle E. 6

By: Morales, Clivette Kathryn T. and Ocampo, Kristelle E. 4 0 16, [, ] | [, ] |

Contributor(s): 5 6 [] |

Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; 201746Edition: Description: 28 cm. 255 ppContent type: text Media type: unmediated Carrier type: volumeISBN: ISSN: 2Other title: 6 []Uniform titles: | | Related works: 1 40 6 []Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- -- -- 20 -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: DDC classification: | LOC classification: | | 2Other classification:

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Action note: In: Summary: EXECUTIVE SUMMARY: Shazam Outfit is a mobile game-application that brings out your identity through your outfits. The proponents incorporated the term in the title because they believe that Shazam Outfit can create outfits as if it's magic based on some of the factors affecting fashion. These factors may not be directly selected by the user, if so, the user has to take the assessment. There will be a collection of mini games that will serve as a gauge to identify the user's mood of preferences. However, if the user already knows her mood and clothing preference as of the moment, he/she can just select from the given choices under the four factors: Waether (which will be automatically detected by the application), Event, Mood, and Clothing Preference. The application will not only give you random outfit ideas but will generate outfits right from one's own clothes. The objectives of the study is to maximize one's clothes, help recycle and redesign old and unused clothes, and find a fashion connection that motivates to embrace fashion identity. In order to understand and validate more of these problems, the researchers conducted surveys to random set of people and an interview with a professional fashion designer and stylist. Their answers were then tallied and reviewed, helping the researchers understand more of their situations and needs. The proponents developed the application following a certain project model did series of testing to verify its expected functionality. Other editions:

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Item type	Current location	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	PLM	PLM Filipiniana Section	Filipiniana-Thesis	T T58.64.M67.2017 (Browse shelf)	Available		FT6181

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Undergraduate Thesis (BSCS major in Information Technology) Pamantasan ng Lungsod ng Maynila, 2017. 56

EXECUTIVE SUMMARY: Shazam Outfit is a mobile game-application that brings out your identity through your outfits. The proponents incorporated the term in the title because they believe that Shazam Outfit can create outfits as if it's magic based on some of the factors affecting fashion. These factors may not be directly selected by the user, if so, the user has to take the assessment. There will be a collection of mini games that will serve as a gauge to identify the user's mood of preferences. However, if the user already knows her mood and clothing preference as of the moment, he/she can just select from the given choices under the four factors: Waether (which will be automatically detected by the application), Event, Mood, and Clothing Preference. The application will not only give you random outfit ideas but will generate outfits right from one's own clothes. The objectives of the study is to maximize one's clothes, help recycle and redesign old and unused clothes, and find a fashion connection that motivates to embrace fashion identity. In order to understand and validate more of these problems, the researchers conducted surveys to random set of people and an interview with a professional fashion designer and stylist. Their answers were then tallied and reviewed, helping the researchers understand more of their situations and needs. The proponents developed the application following a certain project model did series of testing to verify its expected functionality.

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