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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM48010

AI-Powered Interview Xpert: An Intelligent Platform for Interviews, Resumes, and Portfolios

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM48010

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM48010

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

DVSW

Dr. Vinod S Wadne

OMN

Om M Nandurkar

SK

Sunny Kumar

MC

Mruganka Chiplunkar

VD

Vaishnavi Dhumal

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Abstract

In the modern job market, standing out requires more than just qualifications—it demands excellent interview skills, strong resumes, and an impressive portfolio. This project introduces an AI-powered platform aimed at helping job seekers and students excel in these critical areas. The platform combines three key components: a Mock Interview Assistant, a Resume Generator, and a Portfolio Creator—each enhanced with artificial intelligence to deliver tailored feedback and data-driven support. The Mock Interview module simulates realistic interview environments by customizing questions based on the user’s desired role and industry. Leveraging natural language processing (NLP) and machine learning, it assesses user responses for relevance and clarity, providing feedback, ratings, and improvement tips for soft skills. It also integrates text-to-speech to simulate real-time conversations. The Resume Builder analyzes job postings using AI to help users optimize their resumes with appropriate

KEYWORDS

phrasing and content suggestions

Cite This Article

Dr. Vinod S Wadne, Om M Nandurkar, Sunny Kumar, Mruganka Chiplunkar, Vaishnavi Dhumal, "AI-Powered Interview Xpert: An Intelligent Platform for Interviews, Resumes, and Portfolios," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM48010

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Publication Date

5/20/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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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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