A smart slipper system for monitoring elderly gait health and fall detection.

GOSPL is a full-stack health monitoring system that uses sensor-equipped slippers to track an elderly person's gait patterns. The system consists of two main components:

1. Edge Application: Python-based application that runs locally to collect and process sensor data from smart slippers
2. Web Application: Next.js dashboard for viewing gait data and receiving alerts

repository-root/ ├── edge-app/ # Python application for local sensor processing └── web-app/ # Next.js web dashboard 

• Python 3.8+
• Node.js 18+
• Supabase account (free tier)
• Smart slipper hardware with sensors

1. Clone this repository
2. Set up the edge application:

   cd edge-app pip install -r requirements.txt

3. Set up the web application:

   cd web-app npm install

4. Configure environment variables:
   • Copy .env.example to .env.local in web-app
   • Update Supabase credentials in both apps

• Edge App: python edge_app.py
• Web App: npm run dev

MIT License - See LICENSE file for details