Interview Assistant — AI Powered Interview Preparation and Assessment Platform

In today’s highly competitive job market, effective interview preparation plays a pivotal role in achieving career success. However, conventional preparation methods often fail to provide personalization, real-time feedback, and comprehensive performance assessment. To address these challenges, this research presents the AI-Driven Interview Assistant — an intelligent, adaptive, and comprehensive AI-powered interview preparation and assessment platform. The proposed system leverages Natural Language Processing (NLP), speech analysis, and computer vision to simulate realistic interview environments while delivering actionable feedback and personalized improvement recommendations. The platform employs Large Language Models (LLMs) such as OpenAI’s GPT and Google’s Gemini for intelligent question generation and response evaluation. Real-time speech-to-text conversion using Google Speech-to-Text API or Whisper AI enables seamless voice interaction, while sentiment analysis with Hugging Face transformers evaluates emotional tone, confidence, and engagement. The core evaluation engine analyzes responses based on content relevance, communication clarity, technical accuracy, and behavioral competence. Optional computer vision modules assess facial expressions and body language for holistic performance insights. From a technical standpoint, the system is built with a React.js frontend and Node.js/Express backend, ensuring a smooth, interactive user experience. WebRTC integration enables live audio-video interview simulations, while MongoDB or PostgreSQL store detailed performance analytics for adaptive learning. The platform also integrates with job portals and company databases to deliver role-specific and industry-oriented interview preparation.