AI-POWERED RECRUITMENT FRAUD DETECTION

EDEH, FAVOUR ONYINYECHI (2026) AI-POWERED RECRUITMENT FRAUD DETECTION. Other thesis, GODFREY OKOYE UNIVERSITY, ENUGU,.

[img] Text
EDEH FAVOUR PROJECT WORK (1) SPECIAL EDITING now NOW.pdf
Download (1MB)

Abstract

Current methods are prone to fraudulent applications and false candidate data due to relying on manual review or simple keywords and phrases for search operations. The system uses advanced natural language processing and machine learning algorithms to enable automated candidate screening, authentication of document integrity and identify fake records. The AI-Powered Recruitment system aims to automate the recruitment processes, thereby increasing hiring precision, preventing application fraud, minimizing processing time for huge applications, and creating a safe platform.

Item Type: Thesis (Other)
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Computing And Information Technology (FACIT)
Depositing User: Nnenna Ayo
Date Deposited: 10 Aug 2026 11:59
Last Modified: 10 Aug 2026 11:59
URI: http://eprints.gouni.edu.ng/id/eprint/6231

Actions (login required)

View Item View Item
GOUNI Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.