Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/175125
Title: Intelligent recruitment system using deep learning with ChatGPT
Authors: Lim, Timothy Zhong Zheng
Keywords: Computer and Information Science
Issue Date: 2024
Publisher: Nanyang Technological University
Source: Lim, T. Z. Z. (2024). Intelligent recruitment system using deep learning with ChatGPT. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175125
Project: SCSE23-0006 
Abstract: The 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.
URI: https://hdl.handle.net/10356/175125
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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