IOT Enabled Smart E-Healthcare System with Predictive Prescription Algorithm for Automatic Patient Monitoring and Treatment

I. This project presents an IoT-enabled Smart E-Healthcare System designed for continuous patient monitoring and predictive treatment using a combination of embedded systems and machine learning. The system utilizes an Arduino UNO integrated with a heartbeat sensor, respiratory sensor, pulse oximeter, and DS18B20 temperature sensor to collect real-time health data. An LCD displays the readings locally, while data is processed using a Python-based predictive prescription algorithm that analyzes abnormalities and suggests preliminary treatments or alerts caregivers. Powered by 5V and 12V adapters, the system ensures reliable operation and supports cloud integration for remote access. The collected data can also be stored for medical history analysis, enabling doctors to track patient progress over time. This intelligent system reduces the burden on medical staff, enhances diagnostic accuracy, and ensures timely medical interventions, especially in emergency scenarios. With scalability, portability, and real-time responsiveness, the proposed solution is ideal for smart hospitals, home care, rural health centers, and telemedicine applications, offering a step toward accessible and personalized healthcare.