Public browser demo

Find the wildlife story your trip might hold.

WildWhere gives visitors a fast, interactive way to explore likely sightings by park, month, time of day, and local conditions. This GitHub Pages version runs entirely in the browser so anyone viewing your profile can try it instantly.

Transparent scoring No setup required Built for quick exploration

How this demo works

The live Pages demo uses a transparent client-side scoring model inspired by the parks, conditions, and wildlife patterns in the full project. The Flask + scikit-learn app is still in this repo for local use and future Python hosting.

Open the repo

Plan a sighting scenario

Choose a park and a few field conditions to see likely wildlife matches.

Park Month Time of day Region Weather Temperature C

Predicted encounters

Pick a scenario to generate ranked wildlife predictions.

Why this version is public-friendly

GitHub Pages can host the interactive demo directly, so people visiting your account can use WildWhere immediately instead of reading setup instructions first.

Want the full Python app?

The complete Flask and scikit-learn implementation is still in the repo under Wildwhere/, including the trained model and API endpoints for local or future cloud deployment.