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Research · Nov 2023

Animal/Plant Classification Research

Published in CS & IT Conference Proceedings, Vol. 14(4), 2024
NatureSense app flow

I had the privilege of leading the team in the development of a plant/animal classification app leveraging TFLite, Google Firebase, and Flutter frameworks. Through my work at Coding Minds Academy I was given the opportunity to mentor a high school student on this project and write a research paper together.

Our team gathered a large dataset of different plant and animal species and fed it through machine learning (TFLite) training for use in our mobile app. We reached a classification accuracy of 78% for animals in our database.

Once we had a working product we researched the difficulties and advancements needed in plant/animal classification, eventually publishing our findings and beginning the steps toward listing the app on the Apple App Store and Google Play Store.