Getting Started

This project is a starting point for a Flutter application. A few resources to get you started if this is your first Flutter project:

• Lab: Write your first Flutter app
• Cookbook: Useful Flutter samples
• Knowledge about Flutter Packages
• Dataset Used for ML Implementation
• Dataset used for DL Implementation
• Knowledge article for Diabetic Retinopathy

For help getting started with Flutter development, view the online documentation, which offers tutorials, samples, guidance on mobile development, and a full API reference. Certainly! Below is a sample GitHub README for your Mobile Diabetic App. Feel free to customize it further based on your project specifics:

Mobile Diabetic App

Overview

The Mobile Diabetic App is a comprehensive solution for managing diabetes, providing users with tools to monitor blood sugar levels, track medications, and receive personalized insights. The app is built using Flutter and Dart, making it cross-platform and efficient.

Dataset:

Features

1. User Interface (UI):
   • The app boasts an intuitive and user-friendly interface designed with Flutter widgets. Users can easily navigate through different sections, view charts, and input data.
2. Machine Learning Models:
   • We've integrated several machine learning models to enhance the app's functionality:
     • Random Forest: Predicts blood sugar levels based on historical data.
     • Decision Trees: Assists in identifying patterns and correlations.
     • Support Vector Machines (SVM): Classifies data points.
     • XGBoost: Boosted decision trees for accurate predictions.
3. Deep Learning Models for Diabetic Retinopathy:
   • Our app includes deep learning models trained to detect diabetic retinopathy from retinal images. Users can upload retinal images, and the app will provide a risk assessment.
4. Firebase Integration:
   • We leverage Firebase for seamless authentication and secure storage of user data. Firebase Authentication ensures user privacy, while Firebase Cloud Firestore stores relevant information.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/mobile-diabetic-app.git

2. Install dependencies:

3. Remember to install all the necessary python and dart dependencies:

   cd mobile-diabetic-app
   flutter pub get

4. Run the app:

   flutter run

5. Run Backend Prediction Server: '''bash app_rfc.py & 13.py contain the ML Backend Prediciton Server & DL Backend Prediction Server Respectively. '''

Contributing

Contributions are welcome! If you'd like to improve the app or add new features, feel free to submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.