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An app that detects the number of human faces present in a picture and specifies the face area on load

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Face-Recognition-App

Description:

An app that detects the number of human faces present in a picture and specifies the face area on load

Technology stack:

  • ReactJS
  • Standard Cascade styling sheet(SCSS)
  • contextAPI(for state management)
  • local storage (to maintain theme state)
  • Both functional and class based components were used

Features:

  • Box around the face area.
  • Loading animation while detecting face.
  • Light and dark mode.
  • Stating the number of faces present in a picture.

Status & Purpose:

The purpose of this project is to be familiar with working with the basic Maching Learning unstructured Data. Other features might be added soon.

API USED:

Clarifai API.

Display:

Display

Live Demo

Setup:

  1. Copy the repository link
  2. On your commandline/terminal, change the current working directory to the location where you want the cloned directory.
  3. Type git clone https://github.com/USER_NAME/REPOSITORY_NAME.(make sure the link is the link to the repository)
  4. press enter to create your local clone.
  5. Run npm install on your terminal terminal

Reqirement & Resources for development:

  • Any IDE (VSCode, Bracket, Atom, Sublime e.t.c)
  • Basic knowledge in ReactJs
  • knowledge of handling react components and lifecycles with the use of functional component and react-hooks respectively
  • Knowledge in fetching and displaying form of data from a remote API
  • Basic calculations to locate the box area for the face.

Getting Started with Create React App

This project was bootstrapped with Create React App.

Available Scripts

In the project directory, 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 test

Launches the test runner in the interactive watch mode.
See the section about running tests for more information.

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.

npm run eject

Note: this is a one-way operation. Once you eject, you can’t go back!

If you aren’t satisfied with the build tool and configuration choices, you can eject at any time. This command will remove the single build dependency from your project.

Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except eject will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.

You don’t have to ever use eject. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.

Learn More

You can learn more in the Create React App documentation.

To learn React, check out the React documentation.

Code Splitting

This section has moved here: https://facebook.github.io/create-react-app/docs/code-splitting

Analyzing the Bundle Size

This section has moved here: https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size

Making a Progressive Web App

This section has moved here: https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app

Advanced Configuration

This section has moved here: https://facebook.github.io/create-react-app/docs/advanced-configuration

Deployment

This section has moved here: https://facebook.github.io/create-react-app/docs/deployment

npm run build fails to minify

This section has moved here: https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify

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An app that detects the number of human faces present in a picture and specifies the face area on load

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