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Agentic AIintermediate

Pipecat AI Interview Coach: Real-Time Voice Interaction

Develop a real-time AI-powered interview practice coach using voice interaction. This project involves building a full-stack system where users can practice interviews with an AI interviewer, receive intelligent feedback, and interact with an animated avatar.

19 lectures

What You Will Learn

Understanding the nuances of real-time voice AI systems compared to text-based systems
Implementing streaming AI pipelines using the Pipecat framework
Gaining practical experience with Speech-to-Text (STT), LLMs, and Text-to-Speech (TTS) technologies
Building low-latency audio/video communication channels using WebRTC
Implementing turn-taking, silence detection, and conversation context management
Designing a configurable AI system with externalized bot behavior
Debugging and testing end-to-end AI systems involving multiple services

System Architecture

Pipecat AI Interview Coach: Real-Time Voice Interaction Architecture Diagram

High-level architecture overview of the Pipecat AI Interview Coach: Real-Time Voice Interaction .

What You'll Build

  • A real-time voice interview AI system
  • A modular Pipecat pipeline integrating STT, LLM, and TTS components
  • A configuration server for dynamically adjusting bot behavior
  • A WebRTC-enabled frontend client for interactive voice communication
Pipecat AI Interview Coach: Real-Time Voice Interaction
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