Text Recognition Application

This is a basic React Native application utilizing the AWS Rekognition API for text recognition using the built in device camera. Built using Expo🛸

Services and Libraries used

• Create React Native
• AWS Amplify
• AWS Rekognition

Prerequisites

1. AWS Account
2. NodeJS and NPM
3. Yarn
4. Expo-CLI
5. Device with Camera

Getting Started

1. Configuration

Clone repository into project directory

$ git clone 

Move into project folder

$ cd text-recognition-app

Install dependencies

$ npm install
$ yarn install

Install AWS Mobile CLI

$ npm i awsmobile-cli -g

Configure the AWS Mobile CLI to use your AWS Credentials

$ awsmobile configure

Now setup your backend

$ awsmobile init

Source Directory - ext_code

Distribution Directory - build

Build Command - npm run-script build

Start Command - npm run-script start

AWS Mobile project name - choose-a-name

Above details required for later use👨🏾‍🏫

Enable the Cloud API

$ awsmobile cloud-api enable

Push AWS Mobile Configuration

$ awsmobile push

Set the appropriate permissions for your app

In your AWS Management Console:

IAM -> Select Roles -> Select created Role Name -> Permissions -> Search: Rekognition -> Add: AmazonRekognitionFullAccess -> Attach Policy

Permissions Added!!!🚀

2. AWS Rekognition API

In folder ext_code edit file api.js

The following fields need to be changed in order to align with the region you have chosen to use when setting up your backend:

endpoints: "endpoint matching the region chosen in backend setup"

region: "region chosen in backend setup"

3. Ready to Run

Run the application🧙‍♂️

$ yarn run start