AI POWERED WILDLIFE IMAGE CLASSIFICATIONS USING CNN ALGORITHM

Authors

  • Indira Praba S V Student, Sri Ramakrishna College of arts and science
    Author
  • Dr.Mohana S. MCA.,M.Phil.,Ph.D., Assistant professor , Sri Ramakrishna College of arts and science
    Author

DOI:

https://doi.org/10.71366/ijwos03032664044

Keywords:

Wildlife Identification, Deep Learning, Convolutional Neural Network, SpeciesNet, Image Classification, Biodiversity Monitoring, Artificial Intelligence.

Abstract

AI powered wildlife prediction app is an expert nature guide that fits in our pocket. It’s basically tool that turns your phone into a high tech magnifying glass for the outdoors. This works in a very specific way where it recognizes what we see .The app has a "digital eye" that has looked at millions of pictures so when we snap a photo of a bird or a bug, the app notices small details like the pattern on a feather or the shape of an ear and instantly tells you exactly what it is, just like an expert. It gives you the “inside scoop” of an animal or bird. Instead of just giving you a name, it tells you the animal's life story completely like Names: Its common name and its official scientific name, Daily Life: What it eats, where it hides, and where it lives on the globe, Safety: Whether the animal is doing great or if it needs our help to survive etc,. It makes nature feel like a game and easily understandable. To make sure it’s not just a boring encyclopedia, the creators added fun features. That is, the interesting Factor which means every animal you find gets saved to your own personal collection. It also has games where we can take mini quizzes and learn information facts. It also has a daily discovery side where it suggests a new "animal of the day" to learn about. It actually works as the goal is to turn a regular walk in the park into an adventure. It’s built to help you notice the wildlife right in your backyard so that you’ll feel more connected to nature and want to help protecting it. This project demonstrates how artificial intelligence can be integrated into a simple, accessible web platform to promote biodiversity awareness, assist in wildlife learning, and contribute to citizen science.

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Published

2026-03-11

How to Cite

[1]
Indira Praba S V , “AI POWERED WILDLIFE IMAGE CLASSIFICATIONS USING CNN ALGORITHM ”, Int. J. Web Multidiscip. Stud. pp. 221-227, 2026-03-11 doi: https://doi.org/10.71366/ijwos03032664044 .