Key result
Smart Health Kiosk System provides decoupled IoT edge and cloud architecture for real-time physiological monitoring.
This paper describes the technical architecture of an IoT-based Smart Health Kiosk System for real-time physiological monitoring.
Answers are grounded in this paper and cite their sources.
Demonstrates technical feasibility for remote physiological tracking; leaves open whether this IoT architecture improves clinical outcomes.
This repository contains the complete implementation of the Smart Health Kiosk System, built using an explicit Separation of Concerns (SoC) architecture. It includes three primary decoupled modules: Hardware Interface Layer (Python): An embedded edge daemon designed for the Raspberry Pi to safely read raw physiological metrics via I2C buses, featuring automated offline-first data buffering using a local SQLite instance. Server-Side API Backend (Node.js/Express & MongoDB): A cloud engine hosting REST API endpoints, automated health risk evaluations, and data synchronization registries. Client Interfaces (Flutter & React): A cross-platform mobile interface for kiosk interaction via WebSockets, paired with an elegant, high-contrast digital web dashboard using Tailwind CSS for healthcare provider triage management.
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Mohammed Kasim (2026) studied this question. Smart Health Kiosk System was evaluated. The Smart Health Kiosk System provides an IoT edge and cloud architecture for real-time physiological monitoring using decoupled hardware, server, and client modules.
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