Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/175125
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLim, Timothy Zhong Zhengen_US
dc.date.accessioned2024-04-22T02:02:08Z-
dc.date.available2024-04-22T02:02:08Z-
dc.date.issued2024-
dc.identifier.citationLim, T. Z. Z. (2024). Intelligent recruitment system using deep learning with ChatGPT. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175125en_US
dc.identifier.urihttps://hdl.handle.net/10356/175125-
dc.description.abstractThe recruitment industry has witnessed significant technological advancements over the past years, with the emergence of AI and machine learning reshaping the hiring landscape [1]. Central to this transformation is the integration of advanced language models like ChatGPT, which have opened new avenues for efficient and intelligent candidate-employer matchmaking. This project introduces a recruitment system that leverages ChatGPT’s language understanding capabilities to analyze and match resumes with job postings. The system serves as a bridge between job seekers and employers, offering a platform for candidates to submit their resumes, which are then assessed for relevance against various job roles. The use of MongoDB for data management underscores the system’s commitment to robust and scalable data handling, catering to the diverse needs of the modern job market. The expected outcome is a more streamlined, effective, and user-friendly approach to recruitment, aligning with the evolving dynamics of the job market and employer needs. This report delves into the system’s architecture, functionality and implementation.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationSCSE23-0006en_US
dc.subjectComputer and Information Scienceen_US
dc.titleIntelligent recruitment system using deep learning with ChatGPTen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorOwen Noel Newton Fernandoen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor's degreeen_US
dc.contributor.supervisoremailOFernando@ntu.edu.sgen_US
dc.subject.keywordsChatGPTen_US
dc.subject.keywordsAIen_US
dc.subject.keywordsRecruitmenten_US
dc.subject.keywordsLLMen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
Intelligent Recruitment System Using Deep Learning w ChatGPT Final Report.pdf
  Restricted Access
3.09 MBAdobe PDFView/Open

Page view(s)

118
Updated on Apr 24, 2025

Download(s) 50

21
Updated on Apr 24, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.