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TEAM
Da Vinci
Adam Kawash, Moeka Ono, Soumen Deb, Allison Londerée
![clear.png](https://static.wixstatic.com/media/55f531_b9f3f13ce3aa4af78af2cc6d3563b81b~mv2.png/v1/fill/w_3,h_3,al_c,lg_1,q_85,enc_auto/clear.png)
The DaVinci Team of the Erdős Institute has utilized advances in computer vision technology with the goal to train a machine learning model to classify species of birds. We then applied this model in a prototype app ChickID. In doing so our project addresses two primary goals:
1) Generate an algorithm that could take images of birds to identify the species.
2) Ensure our model could function even using amateur-level images with a high degree of accuracy, to ensure accessibility of identification.
Our product can be applied for both private and public settings to allow for fast and accurate identification.
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