AetherCare is an AI-powered, real-time health monitoring dashboard designed to work with our custom-built wearable device. Developed during the Hacksagon National Hackathon, this system enables proactive healthcare using IoT + ML, built with affordability and scalability in mind.
💡 Built for less than ₹3000, AetherCare tracks and analyzes critical vitals, predicts over 54+ medical conditions, and enables instant emergency response — all in seconds.
AetherCare Dashboard provides two key interfaces:
- User Dashboard: For individuals to monitor their real-time health data and risk status.
- Responder Dashboard: For emergency teams to get live alerts, GPS location, and critical vitals when a user enters a risky state.
All data is captured by the wearable and pushed to Firebase, where it's processed and visualized on the dashboard.
- 🔴 Real-time vitals monitoring: Heart Rate, SpO₂, Temperature, Respiratory Rate
- 📊 Dynamic Health Score & condition classification:
Normal,Caution,Risky - 🤖 ML-powered condition prediction using LSTM
- 🔔 Visual indicators & health trend interface
- 🚨 Instant alert when user is in critical condition
- 📍 Live GPS + vitals stream
- 🕒 Auto-refresh, patient sorting by severity
- 📞 Integrated Twilio SMS + voice alerts
| Layer | Technologies |
|---|---|
| Frontend | Next.js, React, Tailwind CSS, Framer Motion |
| Backend | Node.js, Express.js |
| ML Model | Flask (LSTM Prediction Server) |
| Database | Firebase Realtime Database |
| Alerts | Twilio (SMS & Voice Integration) |
- ESP8266 – Microcontroller with Wi-Fi
- MAX30102 – Heart Rate & SpO₂ sensor
- AD8232 – ECG Signal Acquisition
- DHT11 – Temperature sensor
- GPS Module – Location tracking
- 3D Printed Case – Compact wearable enclosure