In this tutorial, the author demonstrates how to create a live voice-to-text transcription application using Python and Django frameworks along with Deepgram's AI speech recognition. The project involves setting up a virtual environment, installing necessary dependencies like Django, Deepgram SDK, dotenv library, and Django Channels. Then, the author guides through creating a Django project and app, integrating Django Channels, adding Deepgram API key, getting mic data from the browser, establishing WebSocket connections between server-browser and server-Deepgram, and finally running the application to get real-time transcriptions. The code for this project is available on Github with instructions on how to run it.