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Jiggle Wiggle

Built at Built with Opus 4.6: a Claude Code hackathon · Feb 10, 2026

Jiggle Wiggle — Demo video

Jiggle Wiggle is a real-time AI movement coach that works with three input modes: YouTube videos, live Zoom calls, and AI-generated references. Paste any dance or fitness video URL and the app downloads it, extracts reference poses frame-by-frame, and compares your webcam feed against the dancer in real-time with split-screen skeleton overlays and per-body-part scoring (arms, legs, torso). In Zoom mode, it captures an instructor's video feed and runs pose detection on both streams simultaneously, coaching you through matching their moves. An LLM-powered voice coach provides adaptive spoken feedback in real-time with specific limb-level corrections. Hand gesture controls let you interact without touching the keyboard. All pose detection runs entirely in-browser via MediaPipe WASM with no server-side GPU needed for the core experience, while SAM2 runs on Modal's A100 GPUs for video segmentation. Built with Next.js 16, React 19, TypeScript, OpenAI GPT-4o-mini, Groq, Zoom Meeting SDK.

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