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https://github.com/robertene1994/unioviscope-web

Web application for attendance control.
https://github.com/robertene1994/unioviscope-web

angular attendance-system control facial-recognition presence qrcode

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Web application for attendance control.

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UniOviSCOPE: Attendance Control System


UniOviSCOPE: Attendance Control System 🎯






### This is a Web application for attendance control (my degree's thesis) built with [Angular](https://angular.io/). It is available at [UniOviSCOPE](https://unioviscope-web.herokuapp.com).

#### DevOps (CI/CD) ☁

[![DevOps (CI)]()](https://github.com/robertene1994/unioviscope-web/actions?query=workflow%3A%22DevOps+%28CI%29%22) [![DevOps (CD)]()](https://github.com/robertene1994/unioviscope-web/actions?query=workflow%3A%22DevOps+%28CD%29%22)

#### Continuous Deployment 🚀

![Heroku](https://pyheroku-badge.herokuapp.com/?app=unioviscope-web)

## Installation 🔧

To install this application you can use [npm](https://www.npmjs.com/), the [Node](https://nodejs.org/)'s package manager.

```bash
npm install
```

## Scripts 📜

### `npm start`

Runs the app in the development mode.
Open [http://localhost:4200](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.

### `npm run build`

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

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

## License 🔑

[![MIT](https://badges.frapsoft.com/os/mit/mit.svg?v=102)](LICENSE)