Building a Voice-Controlled AI Agent using AssemblyAI and Groq

The article describes a project that combines speech processing, language models, and tool execution to create a voice-controlled AI agent that can perform tasks like generating code, creating files, and summarizing text.

Details

The project aims to build a voice-controlled AI agent that can convert spoken commands into executable actions. The system follows a pipeline of speech-to-text, intent detection, and tool execution. For speech-to-text, it uses AssemblyAI, and for language model inference, it leverages Groq's large language model. The agent can perform tasks like generating code, creating files, and summarizing text. It also supports compound commands and maintains session history. The author faced challenges with local model limitations, model deprecation issues, and output cleaning. Ultimately, the project demonstrates how speech, language models, and execution logic can be combined to create a versatile AI assistant.