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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/3967
Title: Trendy Tips (Fashion Recommended System)
Authors: Rai, Deepak
Bharani, Lavaniya
Goyal, Ankush
Issue Date: 2023
Publisher: Cyber Tech Publications
Abstract: In the steadily developing and dynamic universe of design, the mission for customized direction in outfit choice has become a craving as well as a principal need. This theoretical makes way for a Style Proposal Framework, a noteworthy mechanical headway ready to change the way people curate their closets. Controlled by the ability of AI, client inclinations, and the rhythmic movement of style drifts, this framework rises above simple dress proposals; it offers a groundbreaking and fitted design venture that takes care of individual preferences and horde events. The Style Proposal Framework addresses a cooperative energy of workmanship and man-made brainpower, where calculations and feel amicably meet. It takes the quintessential closet to a higher level, rising above conventional design guidance. Through an unpretentious yet convincing coordination of computer based intelligence calculations and consistent client communication, the Design Proposal Framework tries to accomplish something other than recommend outfits; it means to turn into a believed style friend, one that figures out your remarkable style language, deciphers the steadily developing language of style drifts, and adjusts to your fashion inclinations progressively. By exploring the sensitive convergence of innovation and individual style, the Design Suggestion Framework isn't simply a device; it's a style friend.
URI: http://lrcdrs.bennett.edu.in:80/handle/123456789/3967
ISSN: 978-93-5053-902-6
Appears in Collections:Book Chapters_ SCSET

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