CC BY 4.0Patacsil, Joseph A.Sakr, Muhammad Hamdy HassanHasan, Mohamed Malek Hasan Abdulwahab2026-03-132026-03-132025-11Sakr, M. H. H. & Hasan, M. M. H. A. (2025). AI-assisted human resource management for recruitment. [Unpublished Undergraduate Thesis]. Don Mariano Marcos Memorial State University - Mid La Union Campus, City of San Fernando, La Union. Lakasa ti Sirib, DMMMSU Institutional Repository.https://lakasa.dmmmsu.edu.ph/handle/123456789/1188Full textThis study developed an AI-Assisted Human Resource Management (HRM) System for Recruitment to automate and improve the hiring process at Don Mariano Marcos Memorial State University - Mid La Union Campus (DMMMSU-MLUC). The existing manual workflow caused delays, document misplacement, and limited transparency. Using a descriptive-developmental research design and the Scrum methodology, the system was designed, implemented, and iteratively improved based on HRM feedback. Key features include online application submission, document validation, AI-assisted screening with GPT-4o-mini, automated ranking, interview scheduling, and email notifications. Usability was evaluated through the System Usability Scale (SUS) with six HRM personnel. Results yielded an average SUS score of 62.5 (“Marginal"), indicating acceptable usability with areas for interface refinement. Findings show that integrating automation and AI improves efficiency, accuracy, and transparency in university recruitment workflows.x, 75 p. : ill. (col.).enSOCIAL SCIENCES::Statistics, computer and systems science::Informatics, computer and systems scienceSOCIAL SCIENCES::Statistics, computer and systems science::Informatics, computer and systems science::Information technologyArtificial intelligencePersonnel Management--Data ProcessingEmployee Selection--AutomationHuman Capital--Management--Technological InnovationsRecruitment and selection -- Computer applicationsHuman resource management--Data processingThesis