HEALTH MONITORING AND EMERGENCY REPORT SYSTEM IN SMART HOMES USING FOUNDATION MODELS

Abstract

The primary goal of this project was to present an Artificial Intelligence (AI) powered healthcare solution that is able to reduce the strain on hospitals by effectively replacing existing at-home monitoring systems with a system that can autonomously monitor patient telemetry at their own home using accessible IoT devices, detect anomalies, process them using foundation models and provide a detailed report to a healthcare professional. The project achieves this by integrating a complex pipeline of devices, ranging from on-body sensors, which capture relevant information from the patient, to at home edge computers, which process this data and look for any anomalies, to a remote high-performance processing server, which acts as both an interface for the healthcare professional, and as a host for more powerful AI models that observe the data and generate a comprehensive report, all while providing an intuitive interface for both the patient and the healthcare professional to comfortably interact with the system. Our solution aligns with the modern trend of the integration of AI into every facet of human existence. By harboring the power of various foundation models, we are able to replace what would usually be hours, if not days of grueling work for the healthcare professional, as well as privacy issues for the patient.