Language Translator

We often go to various foreign places for a visit like for a holiday or for work and often find it difficult to communicate as we are not really familiar with the specific native language of that place, for instance Chinese , Arabic etc.
Imagine a situation you are in china and you see a sign board of a restaurant but you dont know what's written in there, here comes our role, you just need to click a picture of the text and upload it and not only you will get the translated version in your choosen language but it will also recognize the text and will give you a text format which you can edit according to you.
It supports multiple languages like chinese, spanish, arabic, hindi, english and many more.
It uses tessareact.js which is a javascript library which converts an image into text format and uses Libre Translate API for detecting the language and translating it further.

Deployment of the application with Nappitive

We used Nappitive for the deployment of the our application.
First step was to create a YAML file specifying all the requirements i.e. name, docker image, ports etc.
After this, we went to Nappitive playground and uploaded the yaml file and clicked on deploy.

Also for creating a end point, to access the application on browser, we used port 3000.

For defining the custom definations, we our own ComponentDefinition for the application.

It specified the amount of CPU cores the docker container needed as well as the memory required.

This project was bootstrapped with Create React App.

In the project directory, you can run:

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

The page will reload when you make changes.
You may also see any lint errors in the console.

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

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.