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.
Keywords
AI Recruitment, GPT-4, Resume Analysis, Virtual Interview, Facial Recognition, Dynamic Questioning, Candidate Evaluation, Automated Hiring System.
Citations
IRE Journals:
E. Elancheziyan M. E., (Ph.D), Vishnu A, Sanjay K C, Thayanithimaran V "AI Powered Virtual Job Interview Simulation System" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 1680-1690 https://doi.org/10.64388/IREV9I5-1712321
IEEE:
E. Elancheziyan M. E., (Ph.D), Vishnu A, Sanjay K C, Thayanithimaran V
"AI Powered Virtual Job Interview Simulation System" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1712321
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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