The main objective of this project is to develop an IoT-Based Implantable AI Pill (Tablet) for Medicine Tracking that monitors the pill’s position, temperature, and pH levels in real time. It uses sensors and wireless communication for AI-based analysis of medicine intake. The project focuses on building a prototype that improves medication tracking and patient care through smart health monitoring.
The IoT-Based Implantable AI Pill Development for Medicine Tracking is a smart healthcare system designed to improve medication adherence and monitor the patient's health after medicine intake. The system uses an Arduino as the main controller along with an RTC module to maintain accurate date and time for medication scheduling. Push buttons are used to set medicine timings and dosage reminders, while an LCD displays medication schedules and health information. A NodeMCU module enables IoT-based data transmission for remote monitoring. After the patient takes the medicine, physiological parameters such as body temperature, heart rate, and oxygen saturation (SpO₂) are monitored using a Dallas temperature sensor, heartbeat sensor, and pulse oximeter sensor. The collected data helps track the body's response to the medication and can be viewed remotely by caregivers or healthcare professionals. The proposed system enhances medication compliance, provides continuous health monitoring, and supports intelligent healthcare management through IoT technology.
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