Intelligent recruitment system using deep learning with ChatGPT

• Main Author: Lim, Timothy Zhong Zheng
• Other Authors: Owen Noel Newton Fernando
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; ChatGPT; AI; Recruitment; LLM
• Online Access: https://hdl.handle.net/10356/175125
• Institution: Nanyang Technological University

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.