AI-Driven Web Application for Real-Time Student Interview Training

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Mann Monpara; Shruti Amrutkar; Kunal Puri; Gajanan Rathod; Prof. N. H. Deshpande

AI-Driven Web Application for Real-Time Student Interview Training

Authors: Mann Monpara, Shruti Amrutkar, Kunal Puri, Gajanan Rathod, Prof. N. H. Deshpande

Unique Paper ID: 180648
Volume: 12
Issue: 1
PageNo: 1773-1777

Keywords: AI-Based Mock Interview Real-Time Feedback Technical Skill Assessment Machine Learning Natural Language Processing Roadmap for Technology Stacks Video Interview Analysis Spoken Feedback Mechanism Cloud Infrastructure (AWS) User Engagement in Interview Training

Abstract:
This paper explores the development and implementation of an AI-powered mock interview system tailored for candidates aiming to improve their technical interview skills. Our system provides a realistic and interactive experience by conducting video interviews, generating dynamic questions based on user responses, and offering spoken feedback. Additionally, it includes roadmaps for various technology stacks and allows users to view testimonials to stay motivated. By leveraging React, Node.js, and AWS, the platform ensures a seamless, scalable experience that effectively supports career development. Preliminary testing indicates that this system can significantly improve interview readiness and self- confidence.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 1
PageNo: 1773-1777

AI-Driven Web Application for Real-Time Student Interview Training

Available:https://ijirt.org/article?manuscript=180648

08 Nov, 2024

A Real-Time Web Platform to Help in Student Interview Preparation using AI

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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