IoT-Workforce-Ecosystem Healthcare Attendance Tracking & Monitoring System IoT-Workforce-Ecosystem is an end-to-end solution designed for auditing and monitoring healthcare services in Home Care settings. The system addresses the critical need for clinical-administrative data accuracy in environments where network connectivity may be unstable or intermittent.
🚀 Project Roadmap (Development Tiers) The project follows a modular architecture divided into 4 incremental phases:
🟢 Tier 1: Local & Offline (Operational) Hardware: M5Stack Core Basic (ESP32-based).
Storage: Local data persistence on MicroSD (FAT32 File System).
Time Sync: NTP (Network Time Protocol) via Wi-Fi for high-precision Real-Time Clock (RTC) synchronization.
UX/UI: Visual and acoustic feedback for the operator; intelligent battery voltage monitoring via I2C bus.
🟡 Tier 2: Cloud Sync (In Development) Backend: Integration with Supabase (PostgreSQL) for centralized data management.
Resilience: "Offline-First" logic (data is logged to SD and pushed asynchronously to the Cloud when a connection is available).
Security: Secure API Key management and standardized ISO 8601 timestamping.
🟠 Tier 3: Dashboard & Reporting (Planned) Frontend: Web Dashboard built with Streamlit or FastAPI.
Analytics: Automated calculation of total working hours, presence calendar visualization, and report generation for administrative compliance.
🔴 Tier 4: Proactive Alerts (Future) Notification Engine: Telegram Bot API integration for real-time check-in/check-out notifications.
Diagnostics: Automated alerts for low battery levels or prolonged device heartbeat loss (connectivity watchdog).
🛠 Tech Stack Firmware: C++ (Arduino / M5Stack Framework)
Backend/Logic: Python 3.x
Data Analysis: Pandas
Database: Supabase / PostgreSQL
Hardware: M5Stack (ESP32), I2C, ADC, SPI
Important