The Austin Animal Center (AAC) Data Explorer is a web app developed for the Plotly Summer Community App Challenge. The objective of the challenge was to increase data awareness around shelter animals as well as to increase the shelter’s adoption rate.
The data used to build the app come from Kaggle. The data relative to the shelter intakes were directly sourced from the AAC API.
The Predict page allows the app user to enter a series of parameters about a new animal intake. The “predict” button will then plug-in those parameters into a trained machine-learning model to determine whether the animal will be adopted or not (see model specifications below).