ItemConference Paper

Pattern Identification and Recommender System Based on Skin Undertone in ApparelA Deep Learning Approach

Title
Pattern Identification and Recommender System Based on Skin Undertone in ApparelA Deep Learning Approach
Creator
Nikitha Reddy, K.; Iyer, Lakshmi Shankar; Sophia Shalini, G.B.
Description
The fashion industry has undergone significant transformations driven by technological advancements, shifting consumer preferences, and the rise of e-commerce. Traditional retail models have been disrupted, giving consumers unprecedented access to information and options, making personalization crucial for success. The industry has also embraced inclusivity, offering diverse clothing lines that cater to various body types, skin tones, and cultural backgrounds. Technology plays a pivotal role in this evolution, enhancing design, manufacturing, marketing, and sustainability practices. Despite these advancements, existing recommendation systems often overlook individual characteristics such as skin undertones and pattern preferences, as well as the dynamic nature of fashion trends. This study aims to address these limitations by developing a novel AI-powered recommendation system that integrates personalized factors with real-time fashion trends. The proposed system will analyze customer data, including browsing history, social media activity, and purchases, to provide accurate and tailored fashion suggestions. By incorporating individual traits and the latest trends, the research seeks to create a more effective and responsive recommendation engine, ultimately enhancing the consumer shopping experience and helping fashion brands stay competitive in a rapidly evolving market. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Source
Lecture Notes in Networks and Systems;Volume;1277 LNNS;pp.279-294
Date
01-01-2025
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
AI-powered recommendation; E-commerce; Fashion trends; Personalization; Skin undertones
Coverage
Nikitha Reddy K., School of Business and Management, Christ University, Bengaluru, India; Iyer L.S., School of Business and Management, Christ University, Bengaluru, India; Sophia Shalini G.B., School of Business and Management, Christ University, Bengaluru, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 23673370; ISBN: 978-981962699-1;
Format
online
Language
English
Type
Conference paper

Citation

Nikitha Reddy, K.; Iyer, Lakshmi Shankar; Sophia Shalini, G.B., “Pattern Identification and Recommender System Based on Skin Undertone in ApparelA Deep Learning Approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25492.

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