AI Powered Virtual Job Interview Simulation System

This project presents an advanced AI-powered recruitment and evaluation platform designed to modernize traditional hiring and certification processes. The system integrates automated resume analysis, intelligent question generation, and real-time facial verification to ensure a secure and efficient candidate assessment experience. Candidates begin by uploading their resumes, which are processed using GPT-4 to extract key skills and generate personalized interview questions. The platform conducts dynamic, adaptive questioning based on user responses, creating a more relevant and engaging evaluation flow. A built-in facial recognition module enhances security by continuously verifying candidate identity and detecting potential impersonation attempts. Additionally, the system provides instant feedback, enabling candidates to identify strengths and areas for improvement. With its automated workflow, high accuracy, and enhanced fraud prevention, this platform significantly reduces recruiter workload and improves the overall hiring experience. The solution is scalable, user-friendly, and suitable for recruitment, skill certification, and virtual job interview environments.

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2025-11-24
DOI
https://doi.org/10.64388/irev9i5-1712321
Primary Topic
Expert finding and Q&A systems
Type
article
Field-Weighted Citation Impact
0.00
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AI Powered Virtual Job Interview Simulation System

Iconic Research and Engineering Journals
Expert finding and Q&A systems
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AI Powered Virtual Job Interview Simulation System

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Abstract

This project presents an advanced AI-powered recruitment and evaluation platform designed to modernize traditional hiring and certification processes. The system integrates automated resume analysis, intelligent question generation, and real-time facial verification to ensure a secure and efficient candidate assessment experience. Candidates begin by uploading their resumes, which are processed using GPT-4 to extract key skills and generate personalized interview questions. The platform conducts dynamic, adaptive questioning based on user responses, creating a more relevant and engaging evaluation flow. A built-in facial recognition module enhances security by continuously verifying candidate identity and detecting potential impersonation attempts. Additionally, the system provides instant feedback, enabling candidates to identify strengths and areas for improvement. With its automated workflow, high accuracy, and enhanced fraud prevention, this platform significantly reduces recruiter workload and improves the overall hiring experience. The solution is scalable, user-friendly, and suitable for recruitment, skill certification, and virtual job interview environments.

Iconic Research and Engineering JournalsVol. 9(5)
Openalex Percentile: Top 51%
Expert finding and Q&A systems
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AI Powered Virtual Job Interview Simulation System · Iconic Research and Engineering Journals (2025) | TGRS Research Map | TGRS