AIML With Animal Ecosystem In Mysore Zoo

Abstract

The zoo is a local establishment where various 
wild or exotic animals are confined inside 
enclosures. The primary importance of the zoo is 
to facilitate educational and animal conservation 
efforts, followed by offering public viewing and 
pleasure. Animal care and management at the zoo 
is almost available year-round. 
Its fundamental responsibilities are housing, 
reproduction, healthcare, and medical treatment, 
among others. Due to the presence of numerous 
animals 
with 
diverse 
body shapes and 
characteristics in the zoo that require care and 
management, animal administrators must possess 
proficiency in various tools and real-time 
monitoring of all animals, leading to a substantial 
workload for the administrators and significant 
operational costs for the zoo. Consequently, it is 
essential to identify methods to alleviate the 
strain 
of 
animal 
administrators, while simultaneously monitoring the present condition of 
the animals and minimizing expenditures related 
to their care and administration. This research 
presents a development framework for an 
intelligent animal management system using the 
Machine Learning (ML) and Artificial 
Intelligence (AI). The primary objective is to 
automate laborious animal care activities using 
AIML, hence assisting animal administrators in 
systematic management and care. 
Keywords—zoo, animal care and management, 
Artificial Intelligence, automation.