Plumet: Fall Detection System
University team project: comprehensive fall detection system for elderly care with wearable device, real-time backend, and mobile app.
[+ STACK]
- → IoT & Firmware: Wearable device with ESP8266 + MPU6050, 100Hz detection algorithm with event-driven MQTT for battery saving
- → Backend: NestJS with embedded MQTT broker (Aedes), REST API for device management and fall statistics with MySQL
- → Mobile: React Native app with real-time MQTT subscriptions, push notifications with haptic feedback and QR device registration
End-to-end IoT system: from device firmware to mobile notification, through real-time backend.
[+ STORY]
University project from 2023 developed as a team. Each person contributed from their strength: some classmates focused on device assembly (ESP8266 + MPU6050 sensor), others on mobile frontend. We built the end-to-end system coordinating firmware, backend and mobile so the complete flow worked: from accelerometer-based detection to real-time caregiver alerts via MQTT, with event-driven firmware to maximize battery life.