Medico

Abstract

The main purpose of “MEDICO” is to provide higher accuracy to detect images of medicines and give health tips, current news. This paper proposes an intelligent medicine recognition system based on TensorFlow Image Classifier. The proposed system consists of an intelligent medicine recognition device, an app running on an Android-based mobile device. Currently, five different medicines can be recognized by the proposed system. The experimental results show that the recognition accuracy reaches 96.6%. Therefore, the proposed system can effectively reduce the problem of drug interactions caused by taking incorrect drugs, thereby reducing the cost of medicine and giving correct price list of medicine. This app will enable users to register, login, view items, add items, remove an item, and log out. This app can search medicines in the drugs directory and read detailed information. App users can use the Medico application for mainly two purposes. They can browse health tips related articles and read them. Also anyone is able to browse the drug directory page and detect drugs by capturing image. All requests from App user will be delivered to server and fetch data from server to populate information.