Build an LLM-Powered Voice Agent in Python

Learn to build a conversational voice agent in Python that combines large language models with speech processing capabilities. Develop a hands-free chatbot that can listen to your voice, process speech through transcription, generate intelligent responses using LLMs, and speak back through text-to-speech synthesis. Explore the complete implementation including memory retention throughout conversations, API integration with AssemblyAI for speech processing, and customization options to personalize your voice agent. Follow along with a comprehensive code walkthrough, see the voice agent in action through live demonstrations, and discover practical tips for enhancing and customizing your implementation. Set up the complete development environment and deploy your own conversational AI assistant that responds naturally to voice commands and maintains context across extended dialogues.