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 5
May-2025
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2505733


Registration ID:
562537

Page Number

g352-g363

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Title

INTERVIEW SENSEI: INTERVIEW PREPARATION WEBSITE

Abstract

In the highly competitive landscape of technical job seeking, effective interview preparation is crucial yet often challenging due to the lack of realistic simulation and integrated feedback on diverse skills. Traditional methods primarily focus on technical aspects, neglecting critical communication and behavioral elements. This research presents "Interview Sensei" an innovative web application designed to provide a comprehensive, AI-powered platform for technical interview preparation. Leveraging the advanced capabilities of the Google Gemini API, the system simulates real-world interview scenarios, offering real-time feedback on technical responses, communication clarity, and potentially non-verbal cues. The methodology involves a robust web application architecture built with Next.js, Node.js/Express.js, and Postgresql, with the Gemini API serving as the core AI engine for analyzing user input and generating insightful feedback. Key aspects of the system design, including user authentication, interview simulation modules, and the AI feedback loop, are discussed. By integrating sophisticated AI analysis into a user-friendly platform, Interview Sensei aims to enhance candidate readiness, boost confidence, and provide a holistic approach to mastering technical interviews. The paper also discusses potential challenges and future enhancements in AI-powered educational tools. Empirical application demonstrates the potential of utilizing powerful pre-trained AI models like Gemini for creating effective and scalable tools in the domain of professional development.

Key Words

Interview Preparation, AI, Google Gemini API, Natural Language Processing, Computer Vision, Web Application, Next.js, Node.js, Machine Learning, Technical Skills, Communication Skills, Behavioral Skills, User Engagement, AI Feedback.

Cite This Article

"INTERVIEW SENSEI: INTERVIEW PREPARATION WEBSITE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.g352-g363, May-2025, Available :http://www.jetir.org/papers/JETIR2505733.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 SENSEI: INTERVIEW PREPARATION WEBSITE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppg352-g363, May-2025, Available at : http://www.jetir.org/papers/JETIR2505733.pdf

Publication Details

Published Paper ID: JETIR2505733
Registration ID: 562537
Published In: Volume 12 | Issue 5 | Year May-2025
DOI (Digital Object Identifier):
Page No: g352-g363
Country: Lucknow, Uttar Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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