Build a Voice Assistant with Python and Whisper

Short summary

A hands-on tutorial for building a local, privacy-preserving voice assistant using Python, faster-whisper for speech-to-text, and pyttsx3 for text-to-speech. The guide walks through environment setup, microphone capture, transcription with Whisper, and optional LLM integration via OpenAI or Anthropic APIs. The entire pipeline runs locally without sending audio data to the cloud.

• •Set up a Python voice assistant with faster-whisper and pyttsx3 running fully locally
• •Whisper's small.en model transcribes 5 seconds of audio in under 0.5 seconds
• •Optional LLM integration via OpenAI or Anthropic API keys stored in .env

Generated with AI, which can make mistakes.