Ai-Based Patient Health Monitoring with Real Time Alert and Rescue System

Authors: Charumathi S, Kanishka Shree N, Thanuja G A

Abstract: This paper presents the design and implementation of an AI-based Patient Health Monitoring System that integrates symptom prediction, appointment and specialist mapping, OCR- based prescription parsing, medication reminders, and an auto- mated emergency alert-and-rescue mechanism with live location sharing. The system employs NLP for symptom understanding, machine learning classifiers for disease probability estimation, OCR for prescription digitization, and an event-driven notifica- tion architecture for fast emergency response. Emphasis is placed on real-time capability, data security, and practical integration with healthcare workflows. We demonstrate the system architec- ture, algorithms, implementation details, and an evaluation plan for accuracy and responsiveness.