🧠 NeuroSense – AI-Based Seizure Detection & Prediction NeuroSense is an IoT-powered seizure alert system using ESP32, MAX30102 (Heart Rate & SpO2), and ADXL345 (Motion Sensor) to detect and predict seizures. It sends real-time alerts via WiFi to Supabase, ensuring timely intervention.

🚀 Features ✅ Real-time seizure detection using heart rate and motion data ✅ AI-powered prediction (Planned) – Detects pre-seizure patterns for early alerts ✅ WiFi-based notifications – No SMS required, alerts via mobile app ✅ Fail-safe mechanism – Ensures reliable monitoring ✅ Expandable hardware – Future support for temperature (MCP9808) & GSR sensors

🛠️ Hardware Requirements ESP32 WROOM-32 – Main controller MAX30102 – Heart rate & SpO2 sensor ADXL345 – Motion sensor

📌 Installation & Setup Install required Arduino libraries:

Adafruit MAX30102 Library Adafruit ADXL345 Library WiFi and Supabase client libraries Flash the code to ESP32 using Arduino IDE

Set up Supabase for real-time alerts

Create a Supabase project Add a table for storing sensor data Use API keys to connect ESP32

Deploy the mobile app (Planned)

Android/iOS app for real-time monitoring 📊 Future Upgrades 🔹 AI-based seizure prediction using ML 🔹 Custom PCB design for a compact wearable 🔹 Integration with emergency response services

💡 Contributing Want to improve NeuroSense? Feel free to fork, submit issues, or contribute!