Intelligent Virtual Interview Preparation & Skill Evaluation System

Abstract

The Competitive Employment Landscape Demands Not Only Technical Proficiency From Candidates But Also Confident Communication, Composed Behavior, And Structured Articulation During Interviews. A Significant Proportion Of Job Seekers Underperform In Interviews Due To Limited Access To Realistic Practice Environments And The Absence Of Personalized, Real-time Feedback. This Paper Presents The Design And Implementation Of An Intelligent Virtual Interview Preparation & Skill Evaluation System (IVIPSES)—a Web-based, AI-powered Platform That Simulates Authentic Interview Scenarios And Delivers Comprehensive Multi-modal Performance Assessment. The System Integrates Quork AI For Adaptive, Profile-driven Question Generation; Whisper ASR For High-accuracy Speech-to-text Transcription; Natural Language Processing (NLP) For Evaluating Verbal Response Quality Across Dimensions Of Relevance, Fluency, Grammar, And Keyword Coverage; And Computer Vision-based Behavioral Analytics To Assess Non-verbal Cues Including Eye Contact, Facial Expressions, And Confidence Indicators. The Technology Stack Comprises Next.js (frontend), Node.js (backend), And Firebase (real-time Cloud Database). Functional Validation Confirms End-to-end Operational Effectiveness Across All System Modules, With The Integrated Multi-modal Pipeline Demonstrating Superior Assessment Breadth Compared To Existing Single-dimension Interview Tools.

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