Safe_Link

This project is a wearable monitoring and alerting system for dementia patients. The system integrates ESP32-based IoT sensors with a real-time frontend dashboard to track vital signs, detect falls, and provide geofencing alerts for patient safety.

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🚀 Features

• 📡 Real-time Monitoring

  • Body temperature
  • Heart rate
  • Accelerometer readings (for activity/fall detection)
  • GPS location tracking

• ⚠️ Alerts & Notifications

  • Fall detection alerts
  • Geofencing alerts (when the patient moves outside a predefined safe zone)

• 🖥 Frontend Dashboard

  • Displays live data from sensors
  • Visualizes patient’s location on a map
  • Alerts caregivers in real-time

• 🛠 Sensor Data Integration

  • An ESP32 device streams real sensor data to a backend server for processing and visualization.
  • A separate simulation server using Node.js + Socket.IO can generate fake sensor data for testing.

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🏗 Tech Stack

• Hardware: ESP32 microcontroller with sensors (Temperature, Heart Rate, Accelerometer, GPS)
• Backend: Node.js, Express, Socket.IO (receives real sensor data and supports simulation)
• Frontend: React (with charts & maps for visualization)

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⚡ Getting Started

1️⃣ Clone the Repository

git clone https://github.com/yourusername/dementia-monitoring-system.git
cd Wear_guard
cd wear_guard_v2

2️⃣ Setup Backend (Real Sensor Data)

cd server
npm install
npm start

This will start a server that receives data from the ESP32 sensors and streams it to connected clients.

3️⃣ Setup Backend (Simulation Mode, optional)

cd server
npm run simulate

This will start a Socket.IO server streaming fake sensor data every second for testing purposes.

4️⃣ Setup Frontend

cd frontend
npm install
npm start

The frontend will connect to the backend server and display real-time patient data.

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👥 Team

• Sampriti Saha
• Kshitij Kota

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📜 License

This project is licensed under the MIT License.

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