Day 6 Update: Live AQI Map & AI Analyst for Aetheris 🌍🇰🇿

Today I spent my session building out the core infrastructure for Aetheris. My main goal was to bring the Kazakhstan Atlas to life and connect it with our AI reasoning engine.

What I built today:

• Set up live data fetching for AQI and PM2.5 across 28 cities in Kazakhstan.
• Implemented the logic for the Environmental AI layer. The assistant now processes real-time sensor data and explains the context (e.g., the heavy smog caused by winter temperature inversions in Almaty).

Challenges faced:
Processing such a massive volume of environmental data points caused severe UI lag during the initial map render. I resolved this by optimizing the data arrays and implementing server-side caching.

Next steps:
In the next session, I will focus on the Community system so citizen scientists can start logging local pollution events and earning contribution points.