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Projects/2-Intermediate/OCR-TranslatorAndroidApp.md

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+# OCR Android App
+
+**Tier:** 2-Intermediate
+
+Sometimes it is difficult to comprehend the text in an image.To solve this problem we are here going to build an android app which incorporates OCR.
+Although it can be built cross-platform using flutter or react-native ,here we are sticking to native development to ease out the complexites and also because 
+the dependencies and SDKs can be easily integrated with google android studio.
+
+After extracting the text from image we can convert it to other languages so that people of different languages can understand this text.
+
+
+
+
+
+The goal of the OCR-Translator app is to simplify text and make it easily understandable for people of different languages.
+
+## User Stories
+
+
+-   [ ] User is given an option to either select the image from camera storage or use camera using ML Kit provided by Firebase.
+-   [ ] Once the text is extracted it will be displayed on a text field (also called text view in android).
+-   [ ] We use this text and convert it to other languages using ML kit's translation API.Translation can work for upto 50 different language
+
+### Developer Notes
+
+One must note that it is important the the storage and internet permission are taken from the user .An example of permission here is mentioned which needs
+to be added to the manifest file.
+```
+<manifest ... >
+   <uses-permission android:name="android.permission.CAMERA" />
+    <uses-permission android:name="android.permission.INTERNET" />
+</manifest>
+```
+
+
+
+
+## Bonus features
+
+-   [ ] User can be given an option to listen to the extract text using textTospeech function in android. 
+
+
+## Useful links and resources
+
+- [Translation ML Kit](https://developers.google.com/ml-kit/language/translation/)
+- [Recognizing text in an image](https://firebase.google.com/docs/ml-kit/android/recognize-text)
+
+## Example projects
+
+[Here is an example of text translation](https://heartbeat.comet.ml/translate-text-with-ml-kit-on-android-a7bc636aaf98)
+We just need to add the text extraction before this, which will display the text in the textview that will then be translated