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Face Pixel - Real-Time Face Detection & Pixelation
Cross-platform Flutter app for experimenting with real-time face detection. Detects faces in camera feed and applies pixelation blur effects. Works on Android, iOS, and Web.
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What if you had to blow a kiss to your phone instead of tapping? 💋
Let me introduce: Face-to-Navigate & Pucker-to-Confirm
This prototype explores an operating-system-level interaction model where movement and commitment are separated.
💆♀️ Face-to-Navigate: subtle head movement controls exploration
😚 Pucker-to-Confirm: a lip gesture signals explicit intent
👀 Intent-Aware Mode: apps request different confirmation thresholds.
In sparse interfaces, movement is enough.
In dense environments, actions require intention.
What starts as a playful question “what if you had to blow a kiss to tap?” becomes an exploration of how interfaces could respond to intent instead of motion.
Made with Figma Make.
(With intention, obviously.)
available at pucker.figma.site
⚠️ Open the link in your browser and allow camera access for a new 3D experience.
Link:https://3d-interactive-experience.figma.site/
This project transforms any browser into a spatial window using real-time head tracking. Instead of dragging to rotate a 3D object, you simply move your head and the scene responds instantly, creating natural motion parallax and the illusion that digital objects exist behind your screen. No VR. No controllers. Just a webcam.
Built in Figma Make, introduces a new interaction -
look to explore 👀
Community link: https://www.figma.com/community/file/1610396636142913617/3d-interactive-experience
Social Link: https://www.linkedin.com/posts/fuwad_figmamakeathon-activity-7434334331222843393-m09T
Kinetic — AI-Powered User Interaction & Behavior System (Figma Make Prototype)
Kinetic is an advanced AI-driven user interaction and behavior analysis system designed and prototyped in Figma Make — Figma’s AI-powered app builder environment.
This system goes beyond traditional UI/UX prototypes by not only visualizing screens and flows, but also modeling user behavior patterns in real time. It captures and interprets how users move through a website or app to profile their engagement style and emotional state.
figma site : https://crank-happy-18083917.figma.site
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