ArborStride AI: Escape Urban Heat Islands with Open-Source Microclimate Routing
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What I Built Most navigation engines on our phones are engineered around a single, car-centric objective: the fastest asphalt commute . When you want to go for an afternoon run, walk your dog, or step outside to
Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass Submission 馃尶
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass
Most navigation engines on our phones are engineered around a single, car-centric objective: the fastest asphalt commute. When you want to go for an afternoon run, walk your dog, or step outside to decompress, standard mapping apps steer you directly onto concrete canyons, eight-lane boulevards, and asphalt parking lots where surface radiation regularly spikes ground temperatures 10掳F to 15掳F above ambient air.
ArborStride AI flips that logic on its head. It is an open-source, thermal-comfort-first microclimate navigator built to get people off their screens and into continuous natural tree canopies.
Instead of optimizing for vehicular velocity, ArborStride AI:
Whether you're evading midday heat exhaustion or finding a peaceful shaded loop through your neighborhood, ArborStride AI lets you step outside with certainty.
Code & Repository The complete source code is 100% open-source under the MIT license:
Built for the DEV Challenge: Touch Grass (Hacktoberfest 2026)
During summer heatwaves, urban asphalt radiates up to 15掳F to 25掳F hotter than shaded corridors. Standard navigation engines (Google Maps, Apple Maps) prioritize the fastest automotive or pedestrian path, funneling walkers, runners, and families through unshaded concrete canyons and baking parking lots.
ArborStride AI transforms urban navigation by prioritizing thermal comfort, tree canopy density, and physiological safety. Instead of optimizing for pure distance, ArborStride calculates continuous cool corridors beneath mature urban trees (American Elm, London Plane, Sugar Maple, Northern Red Oak).
Navigation software today demands constant visual attention, trapping users in the exact screen-based behavior that prevents them from engaging with nature.
ArborStride AI is designed around a radical premise: The screen should be the shortest part of the experience.