Cloud-Based Monitoring System for Personalized Home Medication

This paper introduces an Artificial Intelligence (AI)-enabled system to assist patients to follow a treatment plan at home. The deep learning model is a Convolutional Neural Network (CNN) classifier that is able to detect a drug even when shown in different orientations. The CNN model is trained for each patient based on his/her prescription medicine schedule. The advantage of the system is the dynamic functionality that makes it a good solution for personalized medication. The GUI demonstrates that the system can assist patients in taking the correct drug and prevent medication errors.