Machine Learning Based Animal Health Care Management System

Abstract

The zoo is a nearby structure that houses a few exotic or wild animals within a fence. A zoo's principal mission is to provide educational and animal protection services, as well as public viewing and enjoyment. The administrative and animal care facilities of the zoo are open all year. Its key tasks include, among other things, convenience, upbringing, medical treatment, and clinical consideration. Because there are hundreds, thousands, or even tens of thousands of creatures in the zoo with different body shapes and qualities that must be properly focused on and cared for, creature chairmen should be skilled in various devices and maintain constant control of the state, all things being equal, resulting in the creature heads' heavy responsibilities and the zoo's massive operating costs. As a result, it's vital to design techniques for reducing the task of creature heads while maintaining monitoring the animals' present situation and cutting creature care and executive costs. In light of the Internet of Things (IoT) and artificial reasoning, this study proposes an enhancement design for the intelligent creature the board architecture (AI). Its major purpose is to use IoT and AI to automate a few tiresome aspects of animal care in order to assist creature chairmen in dealing with and overseeing them more attentively.