The Predictions category enables you to integrate machine learning into your application without any prior machine learning experience. It supports translating text from one language to another, converting text to speech, text recognition from an image, entities recognition, labeling real world objects, interpretation of text, and uploading images for automatic training. This functionality is powered by AWS services including: [Amazon Translate](https://docs.aws.amazon.com/translate/latest/dg/what-is.html), [Amazon Polly](https://docs.aws.amazon.com/polly/latest/dg/what-is.html), [Amazon Transcribe](https://docs.aws.amazon.com/transcribe/latest/dg/what-is-transcribe.html), [Amazon Rekognition](https://docs.aws.amazon.com/rekognition/latest/dg/what-is.html), [Amazon Textract](https://docs.aws.amazon.com/textract/latest/dg/what-is.html), and [Amazon Comprehend](https://docs.aws.amazon.com/comprehend/latest/dg/what-is.html).
import ios0 from "/src/fragments/lib-v1/predictions/ios/getting-started/10_coreml.mdx";
## Goal
To setup and configure your application with Amplify Predictions and go through a simple example of translating text.
## Prerequisites
import ios1 from "/src/fragments/lib-v1/predictions/ios/getting-started/20_preReq.mdx";
import android2 from "/src/fragments/lib-v1/predictions/android/getting-started/20_preReq.mdx";
## Provision Backend Services
To use the predictions category you will need to setup the auth backend resources. To provision auth resources in the backend, go to your project directory and **execute the command**:
```bash
amplify add predictions
```
Enter the following when prompted:
```console
? Please select from one of the categories below
`Convert`
? You need to add auth (Amazon Cognito) to your project in order to add storage for user files. Do you want to add auth now? (Y/n)
`Y`
? Do you want to use the default authentication and security configuration?
`Default configuration`
? How do you want users to be able to sign in?
`Email`
? Do you want to configure advanced settings?
`No, I am done.`
? What would you like to convert?
`Translate text into a different language`
? Provide a friendly name for your resource
`transTextSample`
? What is the source language?
`English`
? What is the target language?
`Italian`
? Who should have access?
` Auth and Guest users`
```
Note that the languages selected during this stage will be the default language your app will translate to/from. These source and target languages can be overridden when you write the code in your application.
To push your change to the cloud, **execute the command**:
```bash
amplify push
```
Upon completion, `amplifyconfiguration.json` will be updated to reference the newly provisioned backend resources.
## Install Amplify Libraries
import ios3 from "/src/fragments/lib-v1/predictions/ios/getting-started/30_installLib.mdx";
import android4 from "/src/fragments/lib-v1/predictions/android/getting-started/30_installLib.mdx";
## Initialize Amplify Predictions
import ios5 from "/src/fragments/lib-v1/predictions/ios/getting-started/40_init.mdx";
import android6 from "/src/fragments/lib-v1/predictions/android/getting-started/40_init.mdx";
## Translating text
To translate text from one language to another, specify the text you want translated, a source language, and a target language. The source and target language parameters will override any choice you made while adding this resource using the Amplify CLI.
import ios7 from "/src/fragments/lib-v1/predictions/ios/getting-started/50_translate.mdx";
import android8 from "/src/fragments/lib-v1/predictions/android/getting-started/50_translate.mdx";
As a result of executing this code, you will see the following printed to your console:
```console
Me gusta comer espaguetis
```
## Next steps
Congratulations! You've translated text from one language to another. Check out the following links to explore other Amplify Predictions use cases:
import ios9 from "/src/fragments/lib-v1/predictions/ios/getting-started/60_nextSteps.mdx";
import android10 from "/src/fragments/lib-v1/predictions/android/getting-started/60_nextSteps.mdx";