https://github.com/iagoantunes/mlkittexttranslate

:e-mail: The MAIL app (yes, it's a pun on AI and ML) is an email application simulator made in Jetpack Compose to explore machine learning and Artificial Intelligence capabilities on Android with Kotlin.
https://github.com/iagoantunes/mlkittexttranslate

android jetpack-compose kotlin mlkit mlkit-translate

Last synced: 2 months ago
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:e-mail: The MAIL app (yes, it's a pun on AI and ML) is an email application simulator made in Jetpack Compose to explore machine learning and Artificial Intelligence capabilities on Android with Kotlin.

• Host: GitHub
• URL: https://github.com/iagoantunes/mlkittexttranslate
• Owner: IagoAntunes
• Created: 2025-02-14T02:55:14.000Z (3 months ago)
• Default Branch: master
• Last Pushed: 2025-02-23T13:28:06.000Z (3 months ago)
• Last Synced: 2025-02-23T14:28:59.941Z (3 months ago)
• Topics: android, jetpack-compose, kotlin, mlkit, mlkit-translate
• Language: Kotlin
• Homepage:
• Size: 2.37 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
![Mobile-Android-com-IA-3522](https://github.com/IagoAntunes/MLKitTextTranslate/blob/master/app/src/main/res/drawable/github/text_translated_cover.png)

# MAIL

The MAIL app (yes, it's a pun on AI and ML) is an email application simulator made in Jetpack Compose to explore machine learning and Artificial Intelligence capabilities on Android with Kotlin.

## 🔨 Project features

The base project has 3 main screens:

- Home tab: List of emails in several languages.

- Email content: When clicking on an item in the initial list, the screen with the body content and subject appears.

- Adjustments: At first it only contains the text stating that there is nothing there.

  

  https://github.com/git-jr/3522-Android-MLKit-Smart-Suggestions/assets/35709152/ae84914b-ad06-4803-aafa-88876b3178cb

- Perform real-time analysis of received emails and generate suggested responses, text and emoji.

- Analyze the content of an email, identify which entities are present and highlight them with the help of Jetpack Compose.

- Use the identified entities to generate suggestions for actions, such as opening a map, calling a phone, sending an email, etc.

https://github.com/git-jr/3522-Android-MLKit-Smart-Suggestions/assets/35709152/adf85d9a-d052-40ca-b095-acb2dbdca31d

## ✔️ Techniques and technologies used

The techniques and technologies used for this are:

- `Jetpack Compose`: Modern toolkit for creating UIs on mobile devices

- `Kotlin`: programming language

- `Gradle Version Catalogs`: new way to manage plugins and dependencies in Android projects

- `Material Design 3`: design pattern recommended by Google for creating modern UIs

- `Hilt`: dependency injection

- `Navigating with Compose`: navigation between composables and screens

- `Viewmodel and states`: screen state management

- `Kotlin Datetime`: navigation between composables and screens.  

- `ML Kit identification`: library for language analysis and identification, part of Google's machine learning toolset

- `ML Kit translation`: library for language analysis and translation, part of Google's machine learning toolset

- `ML Kit Smart Reply`: library for text analysis and suggested responses, part of Google's suite of machine learning tools

- `ML Kit Entity Extraction`: library for text analysis and entity extraction, part of Google's machine learning toolset

[codigo-final]: https://github.com/alura-cursos/3522-Android-MLKit-Smart-Suggestions/tree/aula05

[download-final]: https://github.com/alura-cursos/3522-Android-MLKit-Smart-Suggestions/archive/refs/heads/aula05.zip

## Social

[Linkedin](https://www.linkedin.com/in/iagoaferreira/)

[Portfólio](https://iagoferreira.web.app/)