AI-Powered Diabetes Risk Assessment System for African Healthcare
# 🩺 Health-Net AI - Diabetes Risk Assessment System
## 📋 Overview
**Health-Net AI** is an advanced diabetes risk assessment system specifically designed for African healthcare settings. It combines cutting-edge machine learning with multi-channel accessibility to provide comprehensive diabetes screening and clinical decision support across urban and rural communities.
### 🌟 Key Features
#### 👤 **Patient Interface**
- **Self-Screening Questionnaire**: 8 symptom checks + 6 risk factor assessments
- **Instant Risk Assessment**: Get immediate feedback on diabetes risk level
- **Multi-Channel Access**: Web, USSD (*384*7#), and SMS (1234)
- **No Medical Background Required**: Simple, user-friendly interface
- **Privacy-Focused**: Anonymous patient tracking system
#### 👨⚕️ **Practitioner Interface**
- **AI-Powered Predictions**: 95.2% accuracy with Random Forest model
- **Clinical Decision Support**: Auto-generated treatment protocols
- **Medication Guidelines**: Cost-effective drug recommendations for African context
- **Risk Stratification**: Automated complication risk assessment
- **Patient Management**: SMS sharing and referral system
- **Evidence-Based**: Treatment protocols aligned with WHO guidelines
#### 📱 **Rural Accessibility (USSD/SMS)**
- **Feature Phone Compatible**: No internet or smartphone required
- **USSD Code**: Dial *384*7# for interactive assessment
- **SMS Commands**: Text-based screening (CHECK, CLINIC, INFO, HELP)
- **95%+ Population Reach**: Bridges digital divide in rural Africa
- **Community Health Worker Integration**: Supports CHW-led screening programs
### 🎯 Target Markets
**Geographic Coverage:** 9 African Countries
- 🇰🇪 Kenya
- 🇳🇬 Nigeria
- 🇬🇭 Ghana
- 🇹🇿 Tanzania
- 🇺🇬 Uganda
- 🇿🇦 South Africa
- 🇿🇼 Zimbabwe
- 🇷🇼 Rwanda
- 🇸🇱 Sierra Leone
## 🚀 Quick Start
### Prerequisites
```bash
Python 3.8 or higher
pip (Python package manager)
```
### Installation
1. **Clone the repository**
```bash
git clone
github.com …