Offline Edge AI-Based Multimodal Patient Assistance System with GSM Emergency Alerting: Firmware, Mobile Application, and Hardware Design Files

This repository contains the complete implementation artifacts for an offline Edge AI-based patient-assistance prototype combining VC-02 offline speech recognition, ESP32 centralized state management, SIM800L GSM emergency alerting, relay-switched 240 V AC load control, and a Flutter Bluetooth Low Energy companion application. Included in this release: ESP32 firmware implementing centralized state management across voice, BLE, and physical-switch control paths VC-02 offline voice-recognition configuration and command vocabulary Flutter BLE companion application source code Complete KiCad schematic and circuit design files (power, controller, communication, and relay-driver sections) This release accompanies the manuscript "An Offline Edge AI-Based Multimodal Patient Assistance System With GSM Emergency Alerting" by Abubakar Zubair Okhayole and Bala Boyi Bukata, Department of Electrical Engineering, Bayero University, Kano, Nigeria.