Artificial Intelligence-Driven Website Composer
| 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.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. | 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. | en_US |
| dc.identifier.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 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12475/2758 | |
| dc.language.iso | en | en_US |
| dc.publisher | Polytechnic University of Puerto Rico | en_US |
| dc.relation.haspart | Graduate project poster derived from the article (PUPR_CEAH_SJU_SP24_MCS_Sergio Cepeda_Poster.pdf) | en_US |
| dc.relation.ispartof | Archivo Histórico de la Universidad Politécnica: Fondo Documental y Fotográfico | |
| dc.relation.ispartofseries | Vice Presidency of Innovation in Academic Affairs | |
| dc.relation.ispartofseries | Graduate School | |
| dc.relation.ispartofseries | Artículos de cursos de proyectos a nivel graduado | |
| dc.relation.ispartofseries | Computer Science Program | |
| dc.relation.ispartofseries | Spring-2024; | |
| dc.rights.holder | Polytechnic University of Puerto Rico, Graduate School | en_US |
| dc.rights.license | All rights reserved | en_US |
| dc.source | Universidad Politécnica de Puerto Rico. Biblioteca. Colecciones Especiales y Archivo Histórico | |
| dc.subject | Deep learning | |
| dc.subject | Natural language understanding (NLU) | |
| dc.subject | OpenAI | |
| dc.subject | User-centric Design Automation | |
| dc.subject | API integration | |
| dc.subject.lcsh | Web site development--Automation | en_US |
| dc.subject.lcsh | Artificial intelligence--Applications | |
| dc.subject.lcsh | Natural language processing (Computer science) | |
| dc.subject.lcsh | OpenAI (Artificial intelligence company) | |
| dc.subject.other | Polytechnic University of Puerto Rico--Graduate students--Research | |
| dc.subject.other | Polytechnic University of Puerto Rico--Graduate students--Posters | |
| dc.title | Artificial Intelligence-Driven Website Composer | en_US |
| dc.type | Article | en_US |
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