emmanueltaiwo

emmanueltaiwo / faceverify

Public

Real-time face verification in the browser

faceverify-app.vercel.app
11
9
100% credibility
Found Mar 31, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Browser-based demo for real-time face verification and hand-tracking interactions using webcam input to guide users through biometric challenges and generate auth codes.

How It Works

1
🔍 Find FaceVerify

You discover a cool web page that lets you verify your identity using just your webcam, like a fun security check.

2
📱 Open the page

Click to load the page on your computer or phone, and it asks to use your camera to see your face.

3
✅ Allow camera

Say yes to camera access so the app can show your live video feed right on screen.

4
😀 Follow the guide

A friendly overlay helps you position your face, then it tells you simple actions like look straight, turn your head, open your mouth, and blink while you watch your progress bar fill up.

5
✨ See real-time feedback

The screen lights up with cool effects, status updates, and tips if lighting is low, making it feel like a sci-fi scanner.

🎉 Get your code

Once done, you receive a unique secure code confirming your identity, ready to use or share, with option to try again.

7
🤲 Try hand controls

Click to explore bonus Iron Man-style interfaces where you control panels by moving and pinching your hand in front of the camera.

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AI-Generated Review

What is faceverify?

FaceVerify runs real-time face verification entirely in the browser via webcam, guiding users through steps like looking straight, turning head left/right, opening mouth, and blinking to confirm identity. On success, it generates a unique auth code for KYC-style flows. Built in TypeScript with Next.js and MediaPipe, it delivers a responsive, HUD-like UI with live camera feed, overlays, and progress tracking—no server needed.

Why is it gaining traction?

Its interactive, game-like verification beats static photo uploads in alternatives, with dynamic face overlays, low-light warnings, and smooth animations that hook users instantly. Fully client-side real-time detection via browser ML keeps it lightweight and private, plus bonus hand-tracking demos like a Jarvis-style HUD add flair for real-time face recognition github projects. Devs love the polished demo ready for real-time face swap or attendance systems.

Who should use this?

Frontend devs building quick biometric auth prototypes or real-time face recognition attendance systems. Indie hackers demoing KYC for pitches. Teams experimenting with browser-based real-time detection for dashboards or apps.

Verdict

Solid starter for demos—clone, npm install, npm run dev, and it's live. Low 11 stars and 1.0% credibility score mean it's immature with room for tests and edge cases; fork if you need production polish.

(178 words)

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