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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM51340

AI-Powered Resume Analyzer

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM51340

Volume:

9 |

7 |

Jul 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM51340

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SSUS

Siva Sakthii U S

PM

Pradeepa M

JD

Janani D

NM

Neena Murali

PKR

Puspha Kumari R

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Abstract

In the competitive job market, aligning resumes with job requirements is critical for job seekers. This project presents an AI-powered Resume Analyzer that automatically parses resumes, evaluates their quality, and compares them with job descriptions to suggest improvements. Key features include skill extraction, job role recommendations, resume scoring, and AI-powered gap analysis using Google Gemini API. The application is built using Flask and deployed locally, offering a user-friendly interface for both candidates and administrators.

KEYWORDS

Resume Parsing Flask Gemini API Skill Gap Analysis Job Matching NLP Resume Scoring

Cite This Article

Siva Sakthii U S, Pradeepa M, Janani D, Neena Murali, Puspha Kumari R, "AI-Powered Resume Analyzer," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 7, Jul 2025. https://doi.org/10.55041/IJSREM51340

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Publication Date

11/6/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Review Report (Confidential)
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Article Views

3

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3

Total downloads since publication

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

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