Real-time hand tracking
MediaPipe detects up to two hands and maps 21 landmarks per hand to an interaction model.
NeuroFX Studio is an AI-powered gesture interaction platform that transforms real-time hand tracking into immersive visual effects directly in the browser.
60 FPS
Browser-native loop
21 pts
Landmarks per hand
Local
No camera uploads
Live Studio Preview
Gesture
Two Hands
Effect
Energy Orb
Confidence
94%
FPS
62
Stable render loop
Latency
12 ms
GPU delegated model
Events/min
24
Gesture throughput
Product Surface
MediaPipe detects up to two hands and maps 21 landmarks per hand to an interaction model.
Pinch, open hand, fist, swipe, push and two-hand energy gestures drive canvas effects.
FPS, latency, confidence, session time and interaction volume are visible as product metrics.
A local narrator layer is prepared for future OpenAI integration without exposing API keys.
No image, video, biometric data or camera stream is uploaded to any server.
Landing, Studio, dashboard, about page, documentation and Vercel-ready build are included.
Technical Stack
The camera, model loading, canvas rendering and browser APIs stay inside client components. The static product shell remains compatible with server rendering and Vercel.
Next.js App Router
TypeScript
Tailwind CSS
React
MediaPipe Tasks Vision
Canvas 2D
Framer Motion
Recharts
Vitest
Vercel
Use Cases
Portfolio demos for computer vision and HCI
Spatial-computing experiments in the browser
Interactive product launches and technical storytelling
Gesture-controlled dashboards and creative tools
Education for MediaPipe, Canvas and real-time graphics
This project processes camera input locally in the browser. No image, video, biometric data or camera stream is uploaded to any server.
Este projeto processa a câmera localmente no navegador. Nenhuma imagem, vídeo, dado biométrico ou transmissão da câmera é enviada para servidores.