Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/SamedHrmn/flutter-works
This repo contains my personal Flutter practices.
https://github.com/SamedHrmn/flutter-works
firebase flutter mvvm provider tensorflowlite
Last synced: 18 days ago
JSON representation
This repo contains my personal Flutter practices.
- Host: GitHub
- URL: https://github.com/SamedHrmn/flutter-works
- Owner: SamedHrmn
- License: mit
- Created: 2020-08-29T20:30:08.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2021-09-18T20:02:12.000Z (almost 3 years ago)
- Last Synced: 2024-03-02T14:34:56.077Z (4 months ago)
- Topics: firebase, flutter, mvvm, provider, tensorflowlite
- Language: Dart
- Homepage:
- Size: 46.7 MB
- Stars: 17
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome-stars - flutter-works
README
# flutter-works
##### This repo contains my personal Flutter practices. Projects and contents are as follows:
*
firebase-work
This project created for practicing firebase firestore crud operations with Provider state management. I used MVVM architecture simply. File structures as following:
lib-- App Features:
| - Sign In,Sign Up Firebase
|__model - CRUD operations for mottos.
|__motto_model.dart
|__repository
|__my_respository.dart
|__service
|__firebase_auth.service.dart
|__firestore_service.dart
|__utils
|__locator.dart
|__view
|__home_page.dart
|__login_page.dart
|__register_page.dart
|__router_page.dart
|__view_model
|__motto_view_model.dart
form_screen.dart
main.dart
* flask-connection
This project occurs of two parts. Part one as flask_api converting a rgb image into black-white format and return as a respone. And part wo as flutter_client show this responses. For example:
*
food_app_design
This project created for Flutter design practicing. I used *curved_navigation_bar* and *carousel_slider* package.
*
generic_http_model_basic
This project implements generic type model for http responses. For requests I used jsonplaceholder service. File structures as following:
lib--
|
|__model
|__base_model.dart
|__post_model.dart
|__user_model.dart
|__service
|__base_service.dart
|__jsonplaceholder_service.dart
|__view
|__jsonplaceholder_view.dart
|__view_model
|__jsonplaceholder_viewmodel.dart
main.dart
Generic models handled by IBaseModel and IBaseService class.
```dart
abstract class IBaseService {
Future get({String path, IBaseModel model});
}
abstract class IBaseModel {
Map toJson();
T fromJson(Map json);
}
```
*
method_channel_notification
This project use method channel and access native kotlin code for show in app notification. Flutter method channel requests handled by this code below side of Kotlin,
```kotlin
private val CHANNEL = "notification"
MethodChannel(flutterEngine.dartExecutor.binaryMessenger, CHANNEL).setMethodCallHandler { call, result ->
if (call.method == "showNotification") {
showNotification()
result.success("Service is started !")
}
if(call.method == "removeNotification"){
removeNotification()
result.success("Notification removed !")
}
}
}
```
In Flutter side we created MethodChannel instance and invoke methods that must be written.showNotification and removeNotification must be implemented in native side.
```dart
showNotification() async {
var response =
await MyHome.platformChannel.invokeMethod('showNotification');
setState(() {
_response = response;
});
}
removeNotification() async {
var response =
await MyHome.platformChannel.invokeMethod('removeNotification');
setState(() {
_response = response;
});
}
```
*
pose_detection
This project detect some body parts and apply a bunny filter for head via use PoseNet model. *tflite* and *camera* plugin was used for this. Model loading code section is like this below,
```dart
loadModel() async {
String model = await Tflite.loadModel(model: AssetConstants.POSE_MODEL_TFLITE);
setState(() {
_model = model;
});
}
```
*
vokal_baglama_detection_tflite
This project detect my vocal sound and my baglama instrument sound. A custom .tflite model created via Google Teachable Machine was used for this project.
*
weather_bloc
This project was created from https://bloclibrary.dev/#/flutterweathertutorial tutorial. Weather app , it was used https://www.metaweather.com for weather data. File structures as following:
lib-- App Features:
| - BloC state management
|__models - Refresh view and fetch api data
|__weather_model.dart - Dynamic theme
|__repositories
|_weather_api_client.dart
|_weather_repository.dart
|__view
|__city_selection_screen.dart
|__weather_screen.dart
|__viewmodels\blocs
|__theme_bloc
|__theme_bloc.dart
|__theme_event.dart
|__theme_state.dart
|__weather_bloc
|__weather_bloc.dart
|__weather_state.dart
|__weather_event.dart
|__widgets
|__combined_weather_temperature.dart
|__gradient_container_widget.dart
|__last_updated_widget.dart
|__location_widget.dart.dart
|__temperature_widget.dart
|__weather_condition_widget.dart
main.dart
Licence
MIT License
Copyright (c) 2021 SamedHrmn
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.