How I Built a Voice Controlled AI Agent That Listens, Thinks, and Acts

This content details the process of building a voice-controlled AI agent that can listen, think, and act, leveraging technologies like Groq for models and Gradio for UI. It highlights key architectural choices and challenges faced during development, such as running Whisper locally, obtaining structured JSON from LLMs, and handling Windows file extension issues.