AI-POWERED SMART HEALTH MONITORING & PREDICTIVE HEALTHCARE SYSTEM

Author

AATHIDEERAN V, BRANGIN R G, DHILIBAN T, DHARANEESH V, MS. SWETHAKRISHNAN U

Abstract

 Early changes in vital signs frequently go unnoticed between scheduled clinical visits. Although wearable devices and home instruments now make many physiological readings available, the information is scattered across applications and is difficult for non-specialist users to interpret, so early warning signs may be recognised late.

The Care Companion – AI-Powered Smart Health Monitoring and Predictive Healthcare System presented in this report is an AI-powered healthcare assistance application designed to support continuous patient health monitoring and the early identification of unusual health patterns. The system combines health information obtained from compatible wearable devices and healthcare hardware with AI-based analysis, helping users understand changes in six selected health parameters: heart rate, blood oxygen saturation (SpO₂), body temperature, blood pressure, sleep patterns, and physical activity. The application analyses available readings, identifies values or trends that may need attention, and presents possible health-risk indicators with plain-language guidance.

The project has been realised as a working demonstration developed with the assistance of Vercel v0, an AI-assisted application development tool. The report describes the architecture, methodology, safety considerations, and evaluation approach of the system. The demonstration is a bilingual (English and Tamil) patient portal in which users record health measurements, report symptoms, request appointments with an assigned clinician, view doctor-approved treatment plans, and ask an AI Care Assistant, powered by a server-side Google Gemini API, questions that are grounded in their approved treatment plan. Readings are currently entered by the user and stored in a database; automatic collection from wearable devices is planned future work. The outputs of Care Companion are risk indicators intended to support awareness; they are not clinical diagnoses. The system is therefore positioned as a decision-support and awareness tool that encourages timely professional consultation, and it does not replace medical diagnosis, treatment, or emergency care. Its long-term objective is to make personal health information easier to monitor and understand through validated device integration and clinically reviewed prediction models.

Keywords

Artificial Intelligence, Predictive Healthcare, Wearable Devices, Health Monitoring, Patient Safety, Risk Alerts.

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