firebase_storage
適用於 Firebase Cloud Storage 的 Flutter 插件,這是一項功能強大、簡單且具成本效益的物件儲存服務,適用於 Android 與 iOS。
你唯一需要的健康應用。Google Solution Challenge 2021
適用於 Firebase Cloud Storage 的 Flutter 插件,這是一項功能強大、簡單且具成本效益的物件儲存服務,適用於 Android 與 iOS。
一個用於在 iOS 和 Android 應用程式中整合 Google 地圖的 Flutter 插件。
一個用於行動平台的 Flutter 插件,可使用 Google 單獨的 ML Kit 所有 API。
Agora RTC SDK 的 Flutter 插件,只需幾行代碼即可輕鬆將 Agora 視頻通話或即時視頻串流整合到您的應用中。
v1.5.1一個用於 Flutter 的日期時間選擇器,您可以在英文、荷蘭語和中文中選擇日期/時間/日期和時間,並且還可以自訂您的選擇器內容
v6.0.0將文字中的 URL 和電子郵件轉換為 Flutter 中的可點擊內聯連結。
v0.5.0一個將子項顯示為一行的組件,如果空間不足,則在末尾顯示溢出指示器。
輕鬆從頭開始重新啟動您的應用程式,遺失任何先前的狀態
v3.1.0基於 Geohash 的簡單 Flutter 聚合庫,用於 Google 地圖。
Razorpay SDK 的 Flutter 插件。要了解有關 Razorpay 的更多資訊,請造訪 http://razorpay.com。
v2.0.2一個簡單的滑動操作組件,適用於 Flutter。它非常可自訂,並能適應您的主題。
適用於 Flutter 的可自訂圖示。react-native-vector-icons 的移植版本
{"sdk":"flutter"}^3.3.2^1.10.17^2.5.1^1.0.1^3.0.3^3.0.0^1.0.1^1.0.1^10.0.1^8.0.0^1.5.0^5.0.0^5.0.0^1.0.0—^0.2.1^7.0.1^1.0.0^2.0.1^0.6.0^4.5.9^0.13.1^0.7.4^3.1.1^1.0.1^4.8.0^0.2.2^2.0.1^6.1.1^0.11.1^5.0.0^1.2.5^0.23.1^1.1.2^2.0.1^3.0.2^4.1.0^6.0.2^3.0.2{"sdk":"flutter"}^1.10.1^3.5.1以下為英文專案原文快照,最新內容請造訪 GitHub。
A Google DSC Solution Challenge submission
.Swaasthy is an app made to uplift user's health. It contains everything from medicine reminder functionality to make an SOS call to nearby ambulances to getting an appointment with a virtual doc. We believe that this is a revolutionary step necessary in bringing down the death-rate due to delay faced by patients in our country.
You can checkout our video submission demo on youtube by clicking on the thumbnail below.
https://img.youtube.com/vi/dinzfBUDqi0/maxresdefault.jpgThe contents in this project follow the following structure, where all views are containerised into screens.
├───models
|
├───screens
│ ├───auth
│ ├───consult
│ ├───emergency
│ ├───forums
│ ├───home
│ ├───reminder
│ └───stats
|
├───services
│
├───shared_widgets
│
└───utils
Each individual screen in the above, follow this structure
screen
├──local_widgets
└──index.dart
This project uses 'Product Sans' as it's primary font, with weights of 400 and 600. All the fonts have been pre-imported.
Moreover, here are a few constants which are used throughout the project, and have been added within a CodeRedColors class, use them accordingly.
base : FAFAFAF
primary : EE466E
primaryAccent : bd284b
inactive : 9E9E9E
primary2 : 6246EE
primary2Accent : 3a21b8
inputFields : F3F3F3
medicineCard : FDA8F3
text : 000000
textSecondary : 828282
All the design/mockups for the app have been added in the designs directory. You can use those for reference.
Our solution mainly consists of a Flutter based mobile app. We wanted our solution to reach the masses, that's why we picked flutter as our framework of choice because of its cross-platform capabilities.
For the backend, we mostly relied on Firebase, as it was easier to integrate with the flutter app, without any hassle to manage & create instances of our server.
For sign-up & authentication, we used Firebase auth. If you're a medical volunteer, we'll ask you to upload an image of your medical ID card and we're using firebase ml kit for verification.
https://raw.githubusercontent.com/ishandeveloper/Swaasthy/HEAD/designs/Auth.pnghttps://raw.githubusercontent.com/ishandeveloper/Swaasthy/HEAD/designs/Home%20-%20Screen.pnghttps://raw.githubusercontent.com/ishandeveloper/Swaasthy/HEAD/designs/Disease-Map.pnghttps://raw.githubusercontent.com/ishandeveloper/Swaasthy/HEAD/designs/Screenshot_20210401-103126.jpghttps://raw.githubusercontent.com/ishandeveloper/Swaasthy/HEAD/designs/Consult%20a%20doctor.png
For storing the different types of data including user data, posts for the forum, ambulances, insights for the heatmap, doctors, appointments etc. we chose Cloud Firestore because of its robust features and ability to query & filter out documents with ease.
For verifying the medical volunteer ID Card Image, we used Firebase ML Kit, specifically the text recognition service.
To enable image posting in forums, and to store the volunteer image we used firebase cloud storage.
For handling payments, we used Razorpay SDK, which allowed us to accept payments for doctor appointment booking using Google Pay.
Adding video-calling for doctors and users was a challenging part, we ended up using agora WebRTC SDK to enable that feature within the app.
For the symptom-based disease recognition system, we looked up a lot for a reliable resource and ended up using prepaid service from ApiMedic.
For the Google Assistant Action, we used actions SDK with Google Actions builder tool, along with that for hosting an instance for webhooks, we used GCP.
git clone https://github.com/ishandeveloper/Google-DSC-Solution-Challenge.git
cd \Google-DSC-Solution-Challenge
flutter run
Solving real-life problems is not easy, but at the same time, it's not impossible. Keeping this in mind, a team of four student developers from Chitkara University, Punjab, worked throughout March to solve a concerning problem by leveraging tech.
Our app primarily deals with the health sector. When it comes to saving a life, every millisecond counts! One in 10 patients in India dies on the way to the hospital. And we're here to change to that. We're Swaasthy!
https://avatars1.githubusercontent.com/u/54989142?s=460&u=4b787a0f50c1236b915d4766aa1a40c1b1d9f313&v=4https://avatars.githubusercontent.com/u/51001134?v=4https://avatars.githubusercontent.com/u/44980497?v=4https://avatars.githubusercontent.com/u/60166991?v=4
For help getting started with Flutter, view the online documentation, which offers tutorials, samples, guidance on mobile development, and a full API reference.