Citation

Kar, Weng Chong and Kok, Why Ng and Yong, Hong Fu (2026) Resume data extract and job recruitment Chatbot features for AI-based resume screening & analytics. MethodsX, 16. p. 103775. ISSN 2215-0161

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Abstract

AI technologies are changing the field of manpower recruitment since they make it much more efficient, accurate, and scalable than conventional approaches. The project builds an AI recruitment system that is combined to have two main elements of an integrated AI recruitment system including a Resume Screening AI and a Job Recruitment Chatbot, which have the goal of improving the process in hiring as well as making the experience of the candidates better in the process. The Resume Screening AI uses a mixed approach incorporating both classical document processing, and capabilities of advanced language models. The unstructured data of raw resumes are mined and normalized into standard forms to allow evaluation and ranking of the candidates in an organized and systematic manner according to the position’s requirements. The Job Recruitment Chatbot entails a programmed chat system of interactive communication during the job recruitment procedure comprising the component of FAQ, conversation-based direction, and voice-to-text dynamic to make the system more accessible to a diverse group of users.

Item Type:	Article
Uncontrolled Keywords:	Whisper-large, RASA, TF-IDF, BERT, Google Gemini, Word Error Rate (WER)
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD30.2 Electronic data processing. Information technology. Including artificial intelligence and knowledge management
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	11 Feb 2026 01:43
Last Modified:	11 Feb 2026 01:43
URII:	http://shdl.mmu.edu.my/id/eprint/15339

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