Artificial Intelligence-Driven Website Composer
Date
Authors
Advisor
Publisher
Polytechnic University of Puerto Rico
Item Type
Article
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Abstract
This study outlines the creation of an artificial intelligence (AI)-powered web composer that utilizes OpenAI's Application Programming Interface (API) models GPT-4o and DALL-E-2, together with Python and HTML code, to enable the automatic creation of web pages. This composer enables users to define their design preferences and content requirements, which are subsequently translated and implemented by the AI using sophisticated natural language processing and deep learning methods. The incorporation of these technologies eliminates the need for substantial technical expertise, therefore expanding the availability of web design to a wider range of users. Comparative assessments using traditional web development approaches demonstrate a substantial improvement in efficiency and user happiness, accompanied by notable decreases in production time. This research highlights the significant impact that AI may have on web development and lays the groundwork for future investigations into AI-powered design tools.
Description
Design Project Article for the Graduate Programs at the Polytechnic University of Puerto Rico. Includes a graduate project poster summarizing the research through concise text and visuals derived from the same study.
Keywords
Deep learning, Natural language understanding (NLU), OpenAI, User-centric Design Automation, API integration
Citation
Cepeda Delgado, S. R. (2024). Artificial Intelligence-Driven Website Composer [graduate project article]. Graduate School, Polytechnic University of Puerto Rico. Puerto Rico Cloud Repository (PRCR). https://hdl.handle.net/20.500.12475/2758