Learn to build motion-controlled games using Gemini and MediaPipe. Follow this 3-stage workflow to move from rapid AI prototyping to production-ready code.

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Google introduces a workflow for building motion-controlled games and interactive apps by combining Gemini AI with MediaPipe's real-time on-device ML capabilities. Using Google AI Studio, developers can describe app ideas in natural language and generate functional web apps in minutes. The post showcases several example prompts for games like a motion-controlled Chrome Dino clone, a hair recoloring app, a Squid Game Dalgona candy carver, and a multiplayer Red Light Green Light game — all leveraging MediaPipe's pose, face, hand, and gesture detection. MediaPipe's on-device processing ensures near-zero latency, critical for interactive experiences. Google also announces an upgrade to MediaPipe face detection supporting long-range distance tracking, and a new MediaPipe showcase gallery in AI Studio.

Jump to play: Building with Gemini & MediaPipe

Face landmarks: Bubble Gum Blow Challenge

Gesture recognition: Gesture bubble match

Face detection: The Red Light, Green Light game