The mobile application serves a crucial purpose by leveraging Machine Learning technology to convert handwritten text into speech. This technology, also employed by popular platforms like Gboard, Google Translate, and the Quick, Draw! game, ensures accurate recognition of the user's handwriting. The application is specifically designed for individuals who are unable to speak, allowing them to save their daily conversations as phrases.
In addition to its core functionality, the application offers an authentication feature to enhance data security. Users can register and log in to their accounts, providing an extra layer of protection for their stored data. Furthermore, the application supports multiple device logins, enabling users to access their account and phrases from different devices seamlessly. This flexibility and convenience cater to the needs of individuals who rely on the application as an essential part of their communication process.
This applcation uses Express server hosted at Heroku
- Convert your handwriting to speech and text via machine learning
- Save your daily conversation in the form of categories and dialogues
- Fully secured application via JWT Token
- Login from multiple mobile devices at the same time
- Fork it
- Create your feature branch (git checkout -b my-new-feature)
- Commit your changes (git commit -m 'Add some feature')
- Push to the branch (git push origin my-new-feature)
- Create new Pull Request and rebase it with main
- Add some more cool features.
- Find bugs or errors and fix it.
- Improve UI/UX designs.
Step 1:
Download or clone this repo by using the link below:
https://github.com/200-DevelopersFound/Havo.git
Step 2:
Go to project root and execute the following command in console to get the required dependencies:
flutter pub get
Step 3:
Run the project in Android Studio or any IDE you prefer or run the command:
flutter run <DART_FILE> or Run the project in android studio
Step 4:
To build the flutter project:
flutter build
This project is uses
- provider: ^5.0.0
- learning_input_image: ^0.0.5
- learning_digital_ink_recognition: ^0.0.1
- flutter_circle_color_picker: ^0.3.0
- flutter_tts: ^3.3.3
- cupertino_icons: ^1.0.4
- loading_indicator: ^3.0.2
- progress_loading_button: ^1.1.4
- google_fonts: ^2.1.1
- google_nav_bar: ^5.0.5
Incase you face any problem or need any help write me in issues section.