Design and development of an intelligent emergency state reporting system for Puerto Rico: AI image classification

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dc.contributor.advisorPacheco-Crosetti, Gustavo E.
dc.contributor.authorIbrahim Carbonell, Amani
dc.contributor.authorBrenes Catinchi, Joanne
dc.contributor.authorPacheco-Crosetti, Gustavo E.
dc.date.accessioned2026-11-02T17:29:14Z
dc.date.issued2026-09-10
dc.descriptionFinal Research Poster for the Undergraduate Research Program for Honor Students HSI STEM Grant
dc.description.abstractPuerto Rico’s recurring emergencies generate large amounts of citizen-shared imagery that could support faster situational awareness. This study developed two EfficientNet-B0 models to classify emergency type and estimate damage severity. Model 1 achieved 94.07% best validation accuracy, while Model 2 achieved 79.57%. The results showed that dataset relevance influenced performance more strongly than architectural complexity alone.
dc.description.sponsorshipThis research project was supported by the HSI STEM Title III Polytechnic University of Puerto Rico “A Multifaceted Approach to Student Centered STEM Education” P031C210139
dc.identifier.citationIbrahim Carbonell, A., Brenes Catinchi, J., & Pacheco-Crosetti, G. E. (2026). Design and development of an intelligent emergency state reporting system for Puerto Rico [Research Poster]. Undergraduate Research Program for Honor Students HSI STEM Grant, Polytechnic University of Puerto Rico. https://hdl.handle.net/20.500.12475/3438
dc.identifier.urihttps://hdl.handle.net/20.500.12475/3438
dc.language.isoen
dc.publisherPolytechnic University of Puerto Rico
dc.relation.ispartofArchivo Histórico de la Universidad Politécnica de Puerto Rico
dc.relation.ispartofseriesUndergraduate Research Program and Outstanding Students HSI STEM Grant 2025-2026
dc.rights.holderPolytechnic University of Puerto Rico, Undergraduate Research Program and Outstanding Students
dc.rights.licenseAll rights reserved
dc.subject.lcshEmergency management--Data processing
dc.subject.lcshComputer vision
dc.subject.lcshImage processing--Digital techniques
dc.subject.lcshDeep learning (Machine learning)
dc.subject.lcshNeural networks (Computer science
dc.subject.lcshDisasters--Puerto Rico
dc.subject.otherPolytechnic University of Puerto Rico--Undergraduates--Posters
dc.subject.otherPolytechnic University of Puerto Rico--Undergraduate Research Program for Honor Students--Research
dc.titleDesign and development of an intelligent emergency state reporting system for Puerto Rico: AI image classification
dc.typePoster

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