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Artificial Intelligence-Driven Website Composer
dc.rights.license | All rights reserved | en_US |
dc.contributor.advisor | Duffany, Jeffrey | |
dc.contributor.author | Cepeda Delgado, Sergio R. | |
dc.date.accessioned | 2024-10-10T15:39:44Z | |
dc.date.available | 2024-10-10T15:39:44Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Cepeda Delgado, S. R. (2024). Artificial Intelligence-Driven Website Composer [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico. | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12475/2758 | |
dc.description | Design Project Article for the Graduate Programs at Polytechnic University of Puerto Rico | en_US |
dc.description.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. Key Terms ¾ deep learning, natural-language understanding (NLU), OpenAI API integration, user-centric design automation. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Polytechnic University of Puerto Rico | en_US |
dc.relation.ispartof | Computer Science Program; | |
dc.relation.ispartofseries | Spring-2024; | |
dc.relation.haspart | San Juan | en_US |
dc.subject.lcsh | Polytechnic University of Puerto Rico--Graduate students--Research | en_US |
dc.subject.lcsh | Polytechnic University of Puerto Rico--Graduate students--Posters | en_US |
dc.subject.lcsh | Polytechnic University of Puerto Rico--Subject headings--Unassigned | en_US |
dc.title | Artificial Intelligence-Driven Website Composer | en_US |
dc.type | Article | en_US |
dc.rights.holder | Polytechnic University of Puerto Rico, Graduate School | en_US |
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Artículos de Proyectos de Ciencias en Computadoras