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Table of Contents

Introduction

Feycbox is a full‑stack face detection web app where users can register, sign in, and submit image URLs to detect faces using a machine‑learning API, built as a practice project for modern JavaScript, REST APIs, and database integration.

Features

  • Signin functionality
  • Signup functionality
  • Paste image url in the search box
  • Face on image gets detected

Screenshoots

Signin Screen

Signin Screen

Signup Screen

Signup Screen

Home Screen: Screenshoot Showing Home Screen

Home Screen#1

Home Screen: Screenshoot Showing an Image with Face Being Detected

Home Screen#2

Run App On Local Machine Using Available Scripts

In the project directory from package.json, you can run:

npm start

Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.

The page will reload if you make edits.
You will also see any lint errors in the console.

npm run build

Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.

The build is minified and the filenames include the hashes.
Your app is ready to be deployed!

See the section about deployment for more information.

About

Face detection app.

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