Object oriented RFID with machine learning and IoT

Object-oriented radio frequency identification (RFID) with machine learning (ML) and the internet of things (IoT) can be used to predict demand for products and services. RFID is a technology that use radio waves to the communicate between a reader and a tag attach to objects, allowing for the identification and tracking of that object. By using object-oriented programming principles, RFID data can be systematized and analyzed in a more effectual manner. To establish the same a prototype is built by interfacing RFID sensor with Node MCU software kit. Incorporation of RFID and ML have found that the system is enable for automatic product reordering and real-time inventory level monitoring.