Species Tracker

Home Page
Animal Profile
Population Distribution Over Time
Historical & Forecasted Population

What it does

Species Tracker both compiles and processes various data on animals to both inform the user and predict future population trends of each animal.

How we built it

We built the backend with Python and flask, while the frontend was done in React. The data cleaning and model training was done with Jupyter Notebooks and various Python libraries such as pandas and scikit-learn. Data was gathered from the iNaturalist API.

What we learned

For most of us, it was the first time combining both back and front-end together, as well as using frameworks such as flask and React.

What's next

Future features we'd like to add include:

Discovery feature to randomly generate species for people to learn about, especially those that are considered endangered
Support more species through collection of more data
Optimize by caching prior operations to reduce API calls
List of the currently safe animals at risk of being threatened in the next 10 years