Ai Interview Practice Partner

Abstract

The Rapid Growth Of The Technology Sector Has Intensified The Demand For Effective Interview Preparation Tools That Can Help Candidates Develop Both Technical Knowledge And Soft Skills. Traditional Interview Preparation Methods, Including Coaching Sessions And Static Question Banks, Often Lack Personalized Feedback And Real-time Performance Evaluation. This Paper Presents An AI Interview Practice Partner, An Intelligent Web-based Mock Interview System That Leverages Natural Language Processing (NLP) And Generative AI To Simulate Realistic Interview Environments. The Proposed System Enables Users To Select Interview Categories Suchas Technical, HR, Or Aptitude-based Sessions At Varying Difficulty Levels. User Responses Are Analyzed In Real Time Using NLP Techniques For Relevance, Clarity, Correctness, And Logical Flow. Generative AI Models Power Dynamic Question Generation And Conversational Interview Flow. The System Provides Instant Personalized Feedback, Performance Scoring Across Multiple Dimensions Including Communication, Technical Knowledge, Confidence, And Behavioral Attributes. Experimental Results Demonstrate That The Proposed System Significantly Enhances User Interview Readiness, Reduces Anxiety, And Improves Performance Consistency Compared To Existing Static Platforms. The Architecture Follows A Client-server Model With Modular Components For Authentication, Question Generation, Response Evaluation, And Feedback Delivery, Ensuring Scalability And Extensibility For Future Enhancements Such As Voice-based Interviews And Emotion Detection.

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