Artificial Intelligence-Driven Website Composer

dc.contributor.advisorDuffany, Jeffrey
dc.contributor.authorCepeda Delgado, Sergio R.
dc.date.accessioned2024-10-10T15:39:44Z
dc.date.available2024-10-10T15:39:44Z
dc.date.issued2024
dc.descriptionDesign 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.abstractThis 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.citationCepeda 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/20.500.12475/2758en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12475/2758
dc.language.isoenen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.haspartGraduate project poster derived from the article (PUPR_CEAH_SJU_SP24_MCS_Sergio Cepeda_Poster.pdf)en_US
dc.relation.ispartofArchivo Histórico de la Universidad Politécnica: Fondo Documental y Fotográfico
dc.relation.ispartofseriesVice Presidency of Innovation in Academic Affairs
dc.relation.ispartofseriesGraduate School
dc.relation.ispartofseriesArtículos de cursos de proyectos a nivel graduado
dc.relation.ispartofseriesComputer Science Program
dc.relation.ispartofseriesSpring-2024;
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US
dc.rights.licenseAll rights reserveden_US
dc.sourceUniversidad Politécnica de Puerto Rico. Biblioteca. Colecciones Especiales y Archivo Histórico
dc.subjectDeep learning
dc.subjectNatural language understanding (NLU)
dc.subjectOpenAI
dc.subjectUser-centric Design Automation
dc.subjectAPI integration
dc.subject.lcshWeb site development--Automationen_US
dc.subject.lcshArtificial intelligence--Applications
dc.subject.lcshNatural language processing (Computer science)
dc.subject.lcshOpenAI (Artificial intelligence company)
dc.subject.otherPolytechnic University of Puerto Rico--Graduate students--Research
dc.subject.otherPolytechnic University of Puerto Rico--Graduate students--Posters
dc.titleArtificial Intelligence-Driven Website Composeren_US
dc.typeArticleen_US

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