AI Powered Automated Drug Delivery System with Real Time Monitoring

Abstract

The healthcare sector faces significant challenges in monitoring patients’ health in real-time, especially for those with chronic conditions. Traditional patient monitoring systems lack predictive capabilities and rely heavily on manual intervention. This can lead to delays in treatment and poor health outcomes. The proposed solution utilizes cloud analytics and deep learning techniques for smart patient monitoring. By integrating wearable health devices with cloud infrastructure, the system continuously monitors patients’ vital signs such as heart rate, blood pressure, and oxygen levels. Deep learning models analyze this data to detect anomalies and predict potential health risks. The goal is to provide early detection of health deteriorations and offer personalized recommendations for treatment. This system aims to enhance patient care, reduce healthcare costs, and improve response times to critical events. Advantages include real-time monitoring, predictive analytics, remote accessibility, and the ability to offer tailored healthcare interventions.