I am currently working on a Snow Day Calculator website that estimates the likelihood of school closures based on weather conditions such as snowfall amount, temperature, wind speed, and timing of storms. While the basic functionality is in place, I am running into several technical challenges that I believe could benefit from community insight.

The first issue is data reliability and granularity. Most public weather APIs provide forecasts at a city or regional level, but school closures are often decided at a much more localized level. This leads to situations where predicted snowfall does not accurately reflect conditions near specific school districts. I am exploring ways to improve precision without significantly increasing API costs or complexity.