Swasthya+

Swasthya+ is a comprehensive mobile health application built with Flutter, designed to provide private, secure, and empowering health resources for teenagers. The app offers a range of features from informational articles and AI-powered assistance to direct teleconsultation with medical and legal experts.

Core Features

• Information Hub: Browse and search a library of verified articles on crucial health topics, including menstrual health, contraception, sexual health, and mental wellness. Users can bookmark articles for easy access later.
• AI-Powered Chatbots:
  • Juno AI: A friendly medical assistant powered by Google's Gemini Pro. It answers health-related questions using a Retrieval-Augmented Generation (RAG) model based on the app's verified article database.
  • Serena AI: An empathetic mental health companion designed to listen, validate feelings, and provide supportive guidance in a non-judgmental space.
• Teleconsultation: Securely connect with doctors and legal advisors through one-on-one video calls, powered by the ZegoCloud SDK. The system generates unique room IDs for each session to ensure privacy.
• Clinic Locator: Find nearby clinics and health centers using the device's GPS. The feature displays a list of clinics sorted by distance and provides an option to open directions in Google Maps.
• Period Tracker: An integrated tool for users to log and predict their menstrual cycles. All data is stored locally on the device for privacy using shared_preferences.
• Legal Support: A dedicated section to connect with a legal advisor specializing in healthcare law, the MTP Act, and patient privacy rights.

Tech Stack

• Framework: Flutter
• Backend & Database: Firebase (Cloud Firestore for articles, doctors, and clinic data)
• AI & Chatbots: Google Generative AI (Gemini)
• Video Calling: ZegoCloud (zego_uikit_prebuilt_call)
• Location Services: geolocator
• Local Storage: shared_preferences for bookmarking and period tracker data
• Content Rendering: flutter_markdown_plus for displaying article content

Getting Started

To get a local copy up and running, follow these simple steps.

Prerequisites

• Flutter SDK installed on your machine.
• An editor like VS Code or Android Studio.
• A configured Firebase project.

Installation

1. Clone the Repository

   git clone https://github.com/hariiiiiiiii/docathon-app.git
   cd docathon-app

2. Configure Environment Variables Create a .env file in the root of the project and add your API keys. This project uses keys for Google Generative AI and ZegoCloud.

   # .env
   API_KEY="YOUR_GOOGLE_GENERATIVE_AI_API_KEY"
   APP_ID="YOUR_ZEGO_CLOUD_APP_ID"
   APP_SIGN="YOUR_ZEGO_CLOUD_APP_SIGN"
   

3. Set up Firebase

   • Follow the FlutterFire CLI instructions to configure the app with your own Firebase project.
   • Replace ios/Runner/GoogleService-Info.plist and android/app/google-services.json with the files from your Firebase project.

4. Install Dependencies

   flutter pub get

5. Run the Application

   flutter run

Project Structure

The core logic of the application is located in the lib/ directory:

• lib/main.dart: The main entry point for the application, handles theme configuration and Firebase initialization.
• lib/screens/: Contains all the UI screens for the application's features.
  • main_layout.dart: The primary scaffold containing the bottom navigation bar and logic for switching between main screens.
  • home_screen.dart: The main dashboard of the application.
  • rag_chatbot.dart: Implementation of the "Juno AI" medical assistant.
  • mental_health.dart: Implementation of the "Serena AI" companion.
  • articles_screen.dart, article_detail.dart: UI for the Information Hub.
  • consultation_screen.dart, video_call_screen.dart: UI and logic for video consultations.
  • referral_screen.dart: The "Nearby Clinics" feature.
  • period_tracker.dart: The UI and logic for the menstrual cycle tracker.
• lib/services/: Contains helper services for interacting with backend and local storage.
  • firestore_service.dart: A generic service for fetching data from Cloud Firestore.
  • bookmark_service.dart: Manages adding, removing, and retrieving bookmarked articles using shared_preferences.