karansaini2 / Face-Recognition-Attendance-System

Face Recognition Attendance System developed using React and FaceApi.js library built on top of Tensorflow.js

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Face Recognition Attendance System (FRAS)

This app is developed using React and faceapi.js. The faceapi.js library is built on top of tensorflow.js and it makes it easier to detect, analyze, and compare faces from an image. To improve the accuracy of the detection, the detection is made after multiple expression and captured such as happy, angry, neutral, surprized, sad, etc. It also contains gender detection using which additional check can be performed to improve the accuracy of the results.

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 build fails to minify

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

About

Face Recognition Attendance System developed using React and FaceApi.js library built on top of Tensorflow.js


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