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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM30663

Resume Analyzer

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM30663

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM30663

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

MW

Mr.Rohit Wahwal

PP

Prof.Rutuja Patil

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Abstract

The “AI Resume Analyzer and Automated Job Applier” is a comprehensive web application designed to streamline the job search process by leveraging artificial intelligence and modern web technologies. Built with React, TypeScript, and Puter.js, the platform enables users to upload their resumes, which are then analyzed using Claude AI to extract key skills and experiences. Integrated with the Adzuna Job Search API, it performs intelligent job matching, calculating compatibility scores from 0-100 and providing recommendations to apply, review, or skip opportunities. Additional features include AI-generated personalized cover letters, job bookmarking for later review, and a detailed application tracking dashboard with status updates. The system emphasizes user privacy and control, storing all data securely in the user’s Puter.js cloud, while offering a responsive, user-friendly interface with features like skills gap analysis and automated resume tailoring to enhance career prospects.

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Cite This Article

Mr.Rohit Wahwal, Prof.Rutuja Patil, "Resume Analyzer," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM30663

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Publication Date

12/31/46061

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Double-Blind Peer Review

Review Rounds: 2

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

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