IOT-BASED IMPLANTABLE AI PILL USING ARDUINO

Abstract

The increasing demand for intelligent healthcare solutions has led to the integration of Internet of Things (IoT) technologies with embedded systems for efficient patient monitoring and medication management. This paper presents an IoT-based implantable AI pill system using Arduino, designed to enhance medication adherence and enable continuous monitoring of vital health parameters such as heart rate, oxygen saturation (SpO₂), and body temperature using biomedical sensors. A Real- Time Clock (RTC) module ensures precise scheduling of medication reminders through alert mechanisms, while machine learning algorithms analyse the collected data to identify potential health abnormalities. Furthermore, IoT- based communication enables real-time data transmission and alert notifications to caregivers through remote platforms, ensuring continuous supervision. The system demonstrates reliable performance, cost-effectiveness, and scalability, making it suitable for both home-based and clinical healthcare applications, thereby improving patient safety and reducing the risk of medical emergencies. In addition, the system minimises human errors associated with manual medication management and enhances overall treatment efficiency. The integration of predictive analytics enables early detection of critical health conditions, supporting preventive healthcare. The proposed model can be easily extended with cloud storage for large-scale data analysis and long-term patient monitoring. Moreover, the system architecture supports future upgrades such as mobile application integration and wearable compatibility.