Ai Powered Virtual Job Interview Simulator

Abstract

The Increasing Demand For Effective Interview Preparation Tools Highlights The Limitations Of Traditional Methods, Which Often Lack Personalization And Real-time Feedback. This Paper Presents An AI-powered Virtual Job Interview Simulator Designed To Provide A Realistic And Adaptive Interview Experience. The System Analyzes User Resumes To Extract Relevant Skills And Generates Context-aware Interview Questions Using Natural Language Processing Techniques, Ensuring That Interview Sessions Are Tailored To Individual Profiles. User Responses Are Evaluated In Real Time Based On Multiple Parameters, Including Grammatical Correctness, Semantic Relevance, Fluency, And Communication Clarity, Enabling A Comprehensive Assessment Of Candidate Performance. A Computer Vision-based Module Is Integrated For Face Verification And User Monitoring, Where A Hybrid Approach Improves Authentication Reliability. The System Also Provides Structured Feedback And Performance Analytics To Support Continuous Improvement Over Repeated Sessions. Experimental Results Demonstrate Reliable Performance In Question Relevance, Response Evaluation Consistency, And Face Verification Accuracy, While Maintaining Low Response Time. Overall, The Proposed System Offers An Efficient And Scalable Platform For Enhancing Interview Readiness, Improving Communication Skills, And Boosting User Confidence.

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