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AtlasRepo

ShadeWindow: A Little Shade. A Better Walk

Description and use

ShadeWindow is a local AI walking planner that recommends shaded routes based on departure time, duration, and amenities, using solar geometry and a moving‑shade map.

Problem

Planning a walk that stays in shade while balancing departure time, duration, and amenities is cumbersome.

Outcome

ShadeWindow provides a lightweight local solution that recommends shaded walking routes, reducing reliance on cloud inference and enabling transparent, modifiable calculations.

Workflow

  • Plan: enter duration, departure window, pace, shade/bench/rain preferences or describe them to the model.
  • Compare: view three route options with departure times, moving‑shade maps, and score breakdowns.
  • Save & go: save a walk card in the browser, reopen later, or print it.

Evidence

ShadeWindow, a local‑AI walking planner around one question: When should I leave, and which walk will keep me in the shade?

Source

The moving‑shade map is the central idea: a route that looks appealing now may have a different shade pattern by the time you reach its later segments.

Source

The tested model is Llama 3.1 8B through Ollama.

Source

The interface uses plain HTML, CSS, and JavaScript, with a small Node.js server. SunCalc supplies solar altitude and azimuth.

Source

  • Record date: 2026-10-10T20:55:58.510Z