An Analytical Data-driven Framework For Advancing Tiger Conservation In India

Abstract

India is home to a significant population of the world’s wild tigers, but it is disheartening to see that they are still classified as 'Endangered' on the IUCN's Red List. The efforts to protect these magnificent creatures are ongoing, with the Indian government working hand in hand with various Conservation organizations. Though we have seen some promising progress with a notable increase in tiger populations, it is not all smooth sailing. Challenges persist, including the loss of their natural habitats, the ever-present threat of poaching, and unfortunate conflicts between humans and these incredible animals. This paper dives deep into the challenging mission of conserving tigers in India, highlighting the importance of forward-thinking strategies and using data-driven methods. We take a closer look at how data analytics can play a crucial role in conservation, from collecting and managing data to analysing it and making informed decisions. Our main goal is to offer practical recommendations on how to harness the power of data analytics to boost tiger conservation efforts in India, drawing on the most recent data trends and discoveries.