CardioHealthAssistant 💓🩺

Overview

CardioHealthAssistant is an advanced, AI-powered health tracking and management application designed to provide comprehensive cardiovascular health insights, personalized recommendations, and proactive health monitoring.

🌟 Key Features

1. Health Metrics Tracking

Comprehensive Health Monitoring
- Track critical cardiovascular health indicators
- Record and analyze:
  - Cholesterol levels (Total, LDL, HDL)
  - Blood sugar levels
  - Blood pressure
  - BMI calculations
  - Exercise minutes
  - Heart rate

2. AI-Powered Health Insights

Intelligent Analysis
- Advanced machine learning algorithms
- Personalized health risk assessments
- Predictive health trend analysis
Gemini AI Integration
- Natural language health consultations
- Contextual health recommendations
- Personalized wellness strategies

3. Notification & Reminder System

Multi-Channel Reminders
- Medication adherence tracking
- Customizable reminder frequencies
- Email and SMS notifications
- Google Calendar event integration

4. Data Visualization

Interactive Health Dashboards
- Time series trend analysis
- Distribution charts
- Correlation heatmaps
- Comparative box plots
Matplotlib, Seaborn, and Plotly Visualizations

5. Mobile Companion App

Cross-Platform Support
- Flutter-based mobile application
- iOS and Android compatibility
- Synchronized health tracking
- Real-time notifications

🛠 Technology Stack

Backend

Language: Python 3.12
Frameworks:
- Streamlit
- Pandas
- NumPy
AI Integration:
- Google Gemini AI
- Generative AI API

Machine Learning

Scikit-learn
TensorFlow
Predictive health modeling

Mobile Development

Framework: Flutter
Language: Dart
Platform: Cross-platform (iOS/Android)

Notification Services

Twilio SMS
Google Calendar API
SMTP Email

🚀 Quick Start

Prerequisites

Python 3.12+
Flutter SDK
Google Cloud Account
Twilio Account (Optional)

Installation

Clone the Repository

git clone https://github.com/s-araromi/CardioHealthAssistant.git
cd CardioHealthAssistant

Setup Python Environment

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Configure Environment Variables
- Copy .env.example to .env
- Fill in required API keys and credentials
Run the Application
```
streamlit run app.py
```

Mobile App Setup

cd mobile_app
flutter pub get
flutter run

🔐 Security & Privacy

End-to-end encryption
Secure API key management
HIPAA compliance considerations
User data anonymization
Secure authentication mechanisms

🤝 Contributing

Fork the repository
Create your feature branch
Commit your changes
Push to the branch
Create a Pull Request

Contribution Guidelines

Follow PEP 8 style guide
Write comprehensive unit tests
Document new features and changes

📊 Project Roadmap

Upcoming Features

Advanced machine learning risk prediction
Wearable device integration
Telemedicine consultation booking
Comprehensive health report generation
Multi-language support

📱 Screenshots

📄 License

MIT License

🏆 Acknowledgements

Google Gemini AI
Streamlit Community
Flutter Team
Open-source contributors

📞 Contact

Sulaimon Araromi

Email: sulaimonararomi@gmail.com
LinkedIn: https://www.linkedin.com/in/sulaimon-araromi-395573151/
Project Link: https://github.com/s-araromi/CardioHealthAssistant

Disclaimer: This application is for informational purposes and should not replace professional medical advice. Always consult healthcare professionals for personalized medical guidance.