Baktiyar Ablaikhan
λ 531.6 nm

Mitair

An Android app that helps parents in Almaty pick departure times and routes with lower expected PM2.5 exposure.

Period
Jul 2026
Organisation
Tech Vision hackathon
6-hour PM2.5 forecast error vs persistence
−21.7%
6-hour PM2.5 forecast error vs persistence

Smart City & GreenTech track. The app compares walking routes as well as departure times, and maps community incident reports.

Forecast

A LightGBM model for Almaty PM2.5, tested on a temporal holdout against a persistence baseline.

PersistenceLightGBM
  • 1 hour2.62 → 2.38−9.2%
  • 6 hours6.98 → 5.47−21.7%
  • 12 hours8.56 → 6.50−24.1%
  • 24 hours7.94 → 7.23−8.9%

Mean absolute error of the PM2.5 forecast by horizon, on a temporal holdout. Lower is better.
Data
HorizonPersistence MAELightGBM MAEChange
1 h2.6242.383−9.2%
6 h6.9815.466−21.7%
12 h8.5596.499−24.1%
24 h7.9417.234−8.9%

Limits

The forecast model is not yet wired into the app. The exposure score is a heuristic, and school and community data in the demo are seeded.