Abstract
The aim of this project is to design and develop a tool that results into an easy and helpful solution for applicants as well as recruiters. The rapid growth of job applications across industries has created a significant challenge for recruiters who must manually evaluate large volumes of resumes. This process is often time-consuming, inconsistent, and prone to human bias. The AI Resume Analyzer aims to address these limitations by leveraging Artificial Intelligence and Natural Language Processing (NLP) to automate the process of resume screening and shortlisting. The system extracts key information such as skills, education, and work experience from resumes, and compares them with job descriptions to generate relevance scores. Using machine learning algorithms, it ranks candidates based on their suitability for the role, thereby improving efficiency, accuracy, and fairness in the recruitment process. The proposed solution provides a user-friendly interface, ensures faster decision-making, and supports organizations in streamlining their hiring workflow. This project demonstrates how AI-powered automation can significantly enhance modern recruitment practices.
Citations
IRE Journals:
Zoya Kauser V, Aamna Noorain, Panika N "AI- Resume Analyzer" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 660-663 https://doi.org/10.64388/IREV9I6-1712708
IEEE:
Zoya Kauser V, Aamna Noorain, Panika N
"AI- Resume Analyzer" Iconic Research And Engineering Journals, 9(6) https://doi.org/10.64388/IREV9I6-1712708
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
Important Links
For Authors
Volume 8:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 7:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 6:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 5:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 4:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 3:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12