Development of an AI-Based Resume Screening and Candidate Selection System

Computer Science — 2025, Undergraduate

This study developed an AI-Based Resume Screening and Candidate Selection System to assist human resource officers in shortlisting applicants for advertised positions. Reviewing large volumes of resumes manually is slow and subject to inconsistency. The system parses resume content, matches candidate attributes against job requirements, and ranks applicants using relevance scoring. Built with PHP and MySQL, the system was evaluated with sample job postings and applicant data. The findings demonstrated faster shortlisting and consistent ranking of candidates. The study recommends adoption of the system to support fair and efficient recruitment processes.

For reference and learning only. Do not submit this work as your own.

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