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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM39034

ATS Optimized AI Resume Builder

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM39034

Volume:

8 |

11 |

Nov 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM39034

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

SD

Shivraj Dhotre

KY

Kartik Yanganti

PG

Prathmesh Gullapalli

AA

Anish Andhyal

PSN

Prof. S.A. Nandi

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Abstract

This project introduces an innovative ATS Optimized AI Resume Builder designed to streamline the resume creation process and enhance applicant tracking system (ATS) compatibility. By leveraging generative AI technology, the system generates ATS-optimized descriptions for users’ work experience, projects, and roles based on minimal input such as company name, job title, and project details. The tool also includes pre-installed, professional resume templates tailored to industry standards. This automated and intuitive platform simplifies the process for job seekers, ensuring resumes are both impactful and ATS-friendly. It is particularly valuable for individuals aiming to optimize their job applications with minimal effort.

KEYWORDS

ATS Optimization Generative AI Resume Builder Job Applications Professional Templates Applicant Tracking Systems Automation Career Development Intuitive Design Streamlined Resume Creation.

Cite This Article

Shivraj Dhotre, Kartik Yanganti, Prathmesh Gullapalli, Anish Andhyal, Prof. S.A. Nandi, "ATS Optimized AI Resume Builder," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024. https://doi.org/10.55041/IJSREM39034

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Publication Date

11/23/2024

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

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

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No funding information available for this research.

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