InterviewGPT - AI Mock Interview Platform

About This Project

The AI Mock Interview Platform is a full-stack, production-ready system designed to simulate realistic technical and behavioral interviews using real-time voice interaction. Built using Python, LiveKit, and Next.js, the platform enables users to converse naturally with an AI interviewer that dynamically adapts questions based on responses. The system leverages WebRTC-based audio streaming for low-latency communication, speech-to-text processing for real-time transcription, and AI-driven logic to evaluate answers and generate contextual follow-up questions. It supports multiple interview types including technical, HR, and behavioral rounds, providing an immersive mock interview experience. The backend is built with Python and designed for scalability using asynchronous processing and background workers, while the frontend offers a clean, responsive interface for starting interviews and monitoring session flow. Deployed on a Linux server using PM2, the platform demonstrates strong system design, real-time communication handling, and production-grade deployment practices. This project showcases expertise in AI systems, real-time communication, backend engineering, and full-stack development, making it ideal for interview preparation platforms, ed-tech products, and AI-driven conversational systems.