Zhen BiFollow

Abstract

The COVID-19 virus has brought a significant transformation in e-commerce, with a lot of businesses not only selling products in physical stores but also conducting transactions online. However, the cost and expertise required for personalized website design and programming are prohibitive for a lot of small business owners. This has prompted many small business owners to adopt generic templates, failing to characterize their products and get the style they really want. In 2023, rapid advances in artificial intelligence technologies have resulted in a range of tools capable of generating text and images, catalyzing a transformation in online content creation. In response to this gap, WebGuru was created as an innovative AI platform designed to provide small business owners with powerful website optimization capabilities. This paper introduces WebGuru, an innovative e-commerce website optimization tool designed for users without a technical or design background. By using artificial intelligence, WebGuru enables image optimization, the integration of text with images, and the generation of personalized website styles through simple text commands. This study delves into the key AI-driven design elements of WebGuru, including image processing algorithms, natural language processing modules, and style generation networks. It explores how these AI techniques can improve usability, attractiveness, personalization, customization, and efficiency for users.

Library of Congress Subject Headings

Electronic commerce--Automation; Web sites--Design--Automation; Artificial intelligence; Generative art

Publication Date

4-8-2024

Document Type

Thesis

Student Type

Graduate

Degree Name

Visual Communication Design (MFA)

Department, Program, or Center

Design, School of

College

College of Art and Design

Advisor

Adam Smith

Advisor/Committee Member

Mike Strobert

Campus

RIT – Main Campus

Plan Codes

VISCOM-MFA

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