UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 3
March-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2503531


Registration ID:
557495

Page Number

f55-f63

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Title

Interview Xpert: AI Platform for Mock Interviews, Resume Builder and Portfolio Builder

Abstract

In today's competitive job market, preparing for interviews, creating compelling resumes, and showcasing work through portfolios are essential steps for career success. This project proposes an AI-driven platform designed to support job seekers and students in mastering these critical components. The platform integrates three primary modules: a Mock Interview AI, a Resume Builder, and a Portfolio Builder, each powered by artificial intelligence to offer personalized, data-driven guidance and real-time feedback. The Mock Interview AI module simulates interview scenarios, adapting questions based on the user’s target industry and role. Using natural language processing (NLP) and machine learning, it evaluates responses, offering feedback on aspects like content relevance. The module also provides a score and rating to help users improve non-technical competencies. It makes use of text-to-speech conversions in order to stimulate those interviews. The Resume Builder utilizes AI to analyze job descriptions and optimize user resumes by recommending tailored content, keywords, and phrasing. The platform identifies skill gaps, suggests improvements based on industry best practices, and incorporates ATS (Applicant Tracking System) compatibility features to increase the chances of passing initial resume screenings. The Portfolio Builder aids users in creating visually engaging and content-rich portfolios. Using computer vision and NLP algorithms, it provides insights into portfolio structure, aesthetics, and presentation style. The AI can guide users on curating and showcasing projects to stand out. This platform represents a comprehensive, AI-augmented solution for professional development, aiming to empower job seekers with the tools to navigate the recruitment process with confidence and showcase their skills effectively. Through a seamless and interactive experience, the platform is expected to significantly enhance career readiness and user success in the job market.

Key Words

Artificial intelligence model, Natural language processing, Applicant tracking system, Portfolio, Resume, AI interviews

Cite This Article

"Interview Xpert: AI Platform for Mock Interviews, Resume Builder and Portfolio Builder", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.f55-f63, March-2025, Available :http://www.jetir.org/papers/JETIR2503531.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Interview Xpert: AI Platform for Mock Interviews, Resume Builder and Portfolio Builder", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppf55-f63, March-2025, Available at : http://www.jetir.org/papers/JETIR2503531.pdf

Publication Details

Published Paper ID: JETIR2503531
Registration ID: 557495
Published In: Volume 12 | Issue 3 | Year March-2025
DOI (Digital Object Identifier):
Page No: f55-f63
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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