Abstract
This paper is written with the aim to reduce the pain of those people, who own enough clothes, that they forget about the red top they wore a couple of times because it entered the black hole of the closet. No one knows, what’s in there. Alexa is one such person who has that problem, she’s got other problems too, such as having to wear ten different outfits to decide on one, that’s some serious commitment. And during the time of AI, ML, DS, automation, etc., we having to go through that pain is not needed cause the booming technology can solve all our problems. Like how going to a grocery store manually turned into some clicks away, I want to see how I look in all the possible outfits by just clicks and not manually having to change outfits so many times. This can be easily done by the 3D software (3D printer as the upcoming technology) and an app that stores all our outfits and segregates it. The app would be made to work for android phones because according to analytics, Android is rising with its worldwide market share with 71.61% and iOS has 19.5% but varies differently for different regions. Finally, it should be accessible for everyone, therefore, in the near future, it will work on all these major mobile OS iOS, Android and Windows.
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References
3D software. https://3dlook.me/virtual-dressing/
Many of my questions were answered by the help of https://www.quora.com/
General information regarding its use www.google.com
Lyst’s year of fashion. https://www.lyst.com/year-in-fashion-2019/. https://www.lyst.com/year-in-fashion-2018/
Regarding mobile application development market. https://yourstory.com/mystory/market-research-for-mobile-application-development
LizethChandi. https://www.researchgate.net/publication/318019805_Mobile_application_development_process_A_practical_experience
Comparative study of Google Android, Apple iOS and Microsoft Windows Phone mobile operating systems. https://ieeexplore.ieee.org/document/7980403
Mobile operating systems. https://www.webopedia.com/DidYouKnow/Hardware_Software/mobile-operating-systems-mobile-os-explained.html
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Sai Deepa Reddy, V., Sanjana, G., Shreya, G. (2021). Fashion Express—All-Time Memory App. In: Satapathy, S., Zhang, YD., Bhateja, V., Majhi, R. (eds) Intelligent Data Engineering and Analytics. Advances in Intelligent Systems and Computing, vol 1177. Springer, Singapore. https://doi.org/10.1007/978-981-15-5679-1_46
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