INTERNET OF THINGS-BASED MULTILITERACY LEARNING MEDIA SYSTEM IN SMART FOOD ECOSYSTEM

Abstract

This invention provides an IoT-based multiliteracy learning media system for application in the food ecosystem. The technical problem in previous inventions is that IoT sensor data generally only functions as a static monitoring tool or mechanical automation without direct integration as instructional content in the curriculum or e-learning platform. The technical solution provided by this invention is a system that transforms physical parameter data in the form of humidity, pH, and temperature from smart garden units and waste processing units into input variables in a digital flipbook module in real-time through an Application Programming Interface (API). This system uses a microcontroller and environmental sensors to generate a data stream that triggers automatic updates of numeracy, science, and reading and writing literacy content through conditional logic (If-Then). This invention is also inclusive for all users by providing a text-to-speech audio feature on its interface.