Voice-Controlled Local AI Agent

Building a Voice-Controlled Local AI Agent using Python, Whisper, and LLMs 🚀 Introduction In this project, I built a Voice-Controlled Local AI Agent that can understand user voice commands, classify intent, and perform actions such as creating files, generating code, summarizing text, and engaging in general conversation. The goal was to combine speech processing, natural language understanding, and automation into a single intelligent system. 🧠 System Architecture The system follows a modular pipeline architecture: Audio Input Layer Accepts input via microphone or audio file upload (.wav/.mp3) Speech-to-Text (STT) Converts audio into text using the Whisper model Fallback option: API-based STT if local resources are limited Intent Detection (LLM) Uses a Large Language Model to classify user intent Outputs structured intent such as: Create File Write Code Summarize Text General Chat Tool Execution Layer Executes actions based on detected intent File operations restricted to a safe outpu