[a_t48]

Using a service for this would kind of suck if you're _in_ the national park, due to cell service. The ML portion of this is probably still a bit harder than the GPS bit.

ML:

    Grab yolov8

    (Optional?) Fine tune it on bird pictures

    Convert it to CoreML, do whatever iOS stuff is needed in XCode to run it

GPS:

    Get https://www.nps.gov/lib/npmap.js/4.0.0/examples/data/national-parks.geojson (TIL this exists! thanks federal govt!)

    Stuff it into the app somehow

    Get the coordinates from the OS

    Use your favorite library for point+polygon intersection to decide if you're in a national park

    Bonus: use distance from polygon instead to account for GPS inaccuracy, keeping in mind lat and long have different scales.

...actually the ML one might be easier, nowadays. Now I kind of want to try this.

[xxs]

> Use your favorite library for point+polygon intersection to decide if you're in a national park

it's like 50ish lines of code in C, just iterating over the points (with the polygon represented by arrays of points). The algorithm is linear with regards to the points.

[a_t48]

True!