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# 🛡️ HealthGuard Badge - Smart Travel Health Monitoring System

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
[![Status: Prototype](https://img.shields.io/badge/Status-Prototype-yellow.svg)]()
[![Made in India](https://img.shields.io/badge/Made%20in-India-orange.svg)]()

> A revolutionary wearable health monitoring system for travelers that detects virus symptoms in real-time, integrated with Aadhaar biometric authentication for seamless health tracking and preventive care.

![HealthGuard Badge Banner](https://via.placeholder.com/1200x400/667eea/ffffff?text=HealthGuard+Badge)

## 🌟 Overview

HealthGuard Badge is an IoT-based smart health monitoring device designed specifically for travelers. It continuously monitors vital signs, detects early symptoms of viral infections (COVID-19, flu, dengue, etc.), and provides AI-powered treatment suggestions—all while maintaining secure identity verification through Aadhaar integration.

### 🎯 Problem Statement

Post-pandemic travel requires reliable health monitoring solutions. Traditional screening methods are:
- Time-consuming at airports and transit points
- Only provide point-in-time snapshots
- Lack continuous monitoring capabilities
- Don't offer preventive care guidance

**HealthGuard Badge solves these challenges** with continuous, non-invasive health monitoring and early warning systems.

## ✨ Key Features

### 🦠 **Virus Symptom Detection**
- Real-time fever detection (±0.2°C accuracy)
- Respiratory rate monitoring
- Cough pattern recognition
- Fatigue indicators through activity tracking

### 📊 **Vital Signs Monitoring**
- Body temperature (continuous)
- Heart rate variability (BPM)
- Blood oxygen saturation (SpO2)
- Breathing patterns

### 🔒 **Aadhaar Integration**
- Biometric fingerprint authentication
- Secure health record linkage
- Vaccination status verification
- Emergency contact notification

### 💊 **AI-Powered Treatment Suggestions**
- Symptom pattern analysis
- Risk level assessment (Low/Medium/High)
- Preventive care recommendations
- Medical facility locator
- Medication reminders

### 📱 **Smart Mobile App**
- Real-time health dashboard
- Historical data tracking
- Alert notifications
- Travel health reports
- Multi-language support (Hindi, English, regional languages)

## 🛠️ Technology Stack

### Hardware
- **Microcontroller**: ESP32 / Raspberry Pi Pico
- **Sensors**:
  - MLX90614 (Non-contact IR temperature sensor)
  - MAX30102 (Pulse oximeter & heart rate)
  - BME680 (Environmental sensing)
  - MPU6050 (Accelerometer for activity tracking)
- **Connectivity**: Bluetooth 5.0, Wi-Fi
- **Display**: 0.96" OLED (128x64)
- **Battery**: Li-Po 500mAh (7-day battery life)
- **Enclosure**: 3D printed biocompatible ABS

### Software
- **Firmware**: Arduino C++ / MicroPython
- **Mobile App**: 
  - Frontend: React Native / Flutter
  - State Management: Redux / Provider
- **Backend**: Node.js + Express
- **Database**: MongoDB / Firebase
- **AI/ML**: TensorFlow Lite for symptom detection
- **Authentication**: Aadhaar API integration
- **Cloud**: AWS IoT Core / Google Cloud IoT

### Web Interface
- **Frontend**: HTML5, CSS3, Vanilla JavaScript
- **Animations**: CSS3 transitions & keyframes
- **Responsive Design**: Mobile-first approach

## 📁 Project Structure

healthguard-badge/ ├── hardware/ │ ├── schematics/ # Circuit diagrams (Fritzing/KiCad) │ ├── firmware/ # Arduino/ESP32 code │ ├── 3d-models/ # STL files for case │ └── bill-of-materials.md # Component list with prices ├── mobile-app/ │ ├── src/ │ │ ├── screens/ # App screens │ │ ├── components/ # Reusable components │ │ ├── services/ # API services │ │ └── utils/ # Helper functions │ └── package.json ├── backend/ │ ├── routes/ # API endpoints │ ├── models/ # Database schemas │ ├── controllers/ # Business logic │ └── middleware/ # Auth, validation ├── website/ │ └── index.html # Landing page ├── ml-models/ │ ├── symptom-detection/ # TensorFlow models │ └── training-data/ # Datasets ├── docs/ │ ├── api-documentation.md │ ├── user-manual.md │ └── setup-guide.md └── README.md

## 🚀 Getting Started

### Prerequisites

- Node.js (v16+)
- Arduino IDE or PlatformIO
- React Native CLI / Flutter SDK
- MongoDB or Firebase account
- Aadhaar Sandbox API access

### Hardware Setup

1. **Purchase Components** (Total cost: ₹5,000-8,000)
   ```bash
   # See hardware/bill-of-materials.md for detailed list

2. Assemble Circuit

   # Follow hardware/schematics/circuit-diagram.png
   # Connect sensors to ESP32 as per pin mapping

3. Upload Firmware

   cd hardware/firmware
   # Open in Arduino IDE
   # Select ESP32 Dev Module
   # Upload to board

1. Clone Repository

   git clone https://github.com/yourusername/healthguard-badge.git
   cd healthguard-badge

2. Backend Setup

   cd backend
   npm install
   cp .env.example .env
   # Configure environment variables
   npm run dev

3. Mobile App Setup

   cd mobile-app
   npm install
   # For Android
   npx react-native run-android
   # For iOS
   npx react-native run-ios

4. Website Setup

   cd website
   # Open index.html in browser
   # Or use live server for development

Dashboard	Symptom Alert	Health History

1. Register at Aadhaar Sandbox
2. Get API credentials
3. Update backend/.env:

   AADHAAR_API_KEY=your_api_key
   AADHAAR_CLIENT_ID=your_client_id

// hardware/firmware/config.h
#define TEMP_OFFSET 0.5     // Adjust based on calibration
#define HR_THRESHOLD 100     // Alert threshold
#define SPO2_MIN 95          // Minimum safe SpO2

• Pre-flight health verification
• Fast-track security clearance
• Reduced manual screening time

• Continuous monitoring during long journeys
• Station health checkpoints
• Contact tracing capabilities

• Guest health verification
• Safe tourism certification
• Health compliance documentation

• Employee health tracking
• Workspace safety monitoring
• Outbreak prevention

• Student health monitoring
• Campus safety protocols
• Parent notification systems

• Concept design & prototyping
• Website development
• Hardware prototype v1.0
• Basic mobile app (MVP)

• Aadhaar integration testing
• ML model training for symptom detection
• Beta testing with 100 users
• Regulatory approvals (BIS certification)

• Manufacturing partnerships
• Mass production (1000 units)
• Airport pilot programs
• App store launches

• AI improvements with real-world data
• International compliance (CE, FDA)
• Multi-country expansion
• Enterprise partnerships

We welcome contributions! Please follow these steps:

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

See CONTRIBUTING.md for detailed guidelines.

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

• Aadhaar API documentation and support team
• Open-source IoT community
• Healthcare professionals who provided feedback
• Early beta testers and contributors

Project Maintainer: Your Name

• GitHub: @itsomg134
• Twitter: @omgedam
• Email: omgedam123098@gmail.com
• Portfolio: ogworks.lovable.app
• LinkedIn: Om Gedam

🚧 Currently in Prototype Phase 🚧

We're actively seeking:

• Hardware engineers for PCB design
• Mobile app developers (React Native/Flutter)
• ML engineers for symptom detection models
• Beta testers for pilot programs
• Investors and strategic partners

Interested in supporting this project?

• Angel Investment: Contact us for pitch deck
• Grants: Applying for healthcare innovation grants
• Partnerships: Open to healthcare & travel industry partnerships

This device is currently a prototype and is not FDA/medical board approved. It should be used as a supplementary health monitoring tool and not as a replacement for professional medical advice, diagnosis, or treatment.