IoT Based Healthcare System

Together with Mitran Gokulnath, whose portfolio you can explore at mitran.dev, we developed an IoT-based edge computing healthcare system aimed at enhancing real-time patient monitoring and diagnosis. The system integrates a suite of medical sensors capable of collecting vital signs data such as heart rate, body temperature, and ECG signals. This data streams into a desktop application built in Python with a Tkinter-based UI, providing immediate local processing, visualization, and trend tracking on the user interface. We implemented a secure backend system utilizing PostgreSQL for storage of diagnostic reports, enabling reliable access for healthcare providers and patients alike. Our project also features a Flask and Bootstrap-based web application that allows patients to review their processed medical records remotely at any time. The hardware communication layer is orchestrated with Arduino microcontrollers to ensure smooth and accurate sensor integration. This end-to-end healthcare monitoring solution showcases our combined expertise in embedded systems, full-stack development, and data management, addressing key challenges in connected health environments. The live demo is functional only when hardware components are physically connected, demonstrating the practical application of the system in real-world settings. Importantly, we have built a working prototype to validate the concept, and we are currently writing a research paper to document our system design, implementation, and potential impact.