How I gave Gemini an AI voice inside Google Anti-gravity IDE

• “This course contains the use of artificial intelligence.”

Dear students, welcome to our new course “How I gave Gemini an AI voice inside Google Antigravity Agentic IDE” (where your will learn about Microsoft Edge TTS, Kokoro TTS, and Neural Voices)

Learn how to build a functional, real-time voice assistant powered by Gemini AI directly inside Google Antigravity IDE. This hands-on, project-based course guides you through integrating multimodal artificial intelligence with live audio processing in a modern development setup.

Rather than focusing on heavy theoretical models, we take a direct, practical approach. You will start by configuring your workspace, securing Gemini API keys, and setting up real-time audio streams using WebSockets. From there, you will learn how to capture microphone input, implement speech-to-text and text-to-speech workflows, and hook voice commands into the IDE environment to handle simple coding and workflow automation tasks hands-free.

This course is designed for software developers, students, and tech enthusiasts who already have a basic working knowledge of programming (Python or JavaScript) and want to experiment with agentic workflows and voice-driven software toolkits. By the end of the course, you will have built a working prototype of a Gemini voice assistant that you can continue to customize and adapt for your own software development projects.