Published on: April 2026
AI BASED JOB CANDIDATE SKILLS MATCHING SYSTEM
Adel Rizwan S Kabilan S Vincent Raj A
Kanagadurga N
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Abstract
The rapid growth of digital recruitment platforms has led to an overwhelming number of job applications, making manual candidate screening inefficient and time-consuming. This paper proposes an AI-based job candidate skills matching system that leverages Natural Language Processing (NLP) and Machine Learning (ML) techniques to automate and optimize the recruitment process. The system extracts, analyzes, and matches candidate skills from resumes with job descriptions using intelligent algorithms. By incorporating semantic analysis, keyword extraction, and similarity scoring methods, the system ensures accurate candidate-job alignment. Experimental results demonstrate improved efficiency, reduced hiring time, and enhanced decision-making accuracy. This system provides a scalable and reliable solution for modern recruitment challenges.
How to Cite this Paper
S, A. R., S, K. & A, V. R. (2026). AI Based Job Candidate Skills Matching System. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.800
S, Adel, et al.. "AI Based Job Candidate Skills Matching System." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.800.
S, Adel,Kabilan S, and Vincent A. "AI Based Job Candidate Skills Matching System." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.800.
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References
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 28 2026
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