AI-Powered Career Portal: Intelligent Resume Analysis and Job Matching System

Authors

  • Ragul Parajuli Department of Information Technology, KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India Author
  • Suman Kumar Sah Department of Information Technology, KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India Author
  • Deepak D Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India Author
  • Mr. S. Thivaharan Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coim-batore, Tamil Nadu, India Author

DOI:

https://doi.org/10.47392/IRJAEH.2026.0174

Keywords:

Resume Analysis, Natural Language Processing, Machine Learning, Job Matching, Career Portal, Skill Gap Analysis, MERN Stack

Abstract

The designing and development of the "AI Powered Career Portal" has been proposed, as depicted in the figure above: The "A Career Portal" appears to be an old version of the career portal, focusing on fulfilling the requirements of the "Job Hun-dried." The proposed career portal has the potential to provide a smart platform for the user to "Analyze" the resume, identify the skill gaps, and provide the required learning materials along with the exact "Jobs" that match the user profile. On the one hand, the proposed career portal has utilized the concept of "Natural Language Processing" by using the API provided by the "OpenAI" organization for extracting the entities from the resume. The proposed career portal has the potential to achieve an accuracy level of 92% with the assistance of the proposed "ML Powered Career Portal," especially with regard to the context of the resume, and the accuracy level touching 89%, especially with regard to the context of identifying the skill gaps in the resume. The nature of the operations carried out by the proposed career portal is such that it takes only 3 seconds to get the work done.

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Published

2026-03-26

How to Cite

AI-Powered Career Portal: Intelligent Resume Analysis and Job Matching System. (2026). International Research Journal on Advanced Engineering Hub (IRJAEH), 4(03), 1251-1257. https://doi.org/10.47392/IRJAEH.2026.0174