Skip to content
#

cloudburst

Here are 17 public repositories matching this topic...

Real-time ML system predicting cloudburst risk for 20 Himalayan hotspots in Uttarakhand. Random Forest trained on 79K+ rows of NASA POWER data. Validated against Kedarnath 2013 (85.8%), Joshimath 2021 (15.1% correctly low). Bilingual UI (EN/हिं), interactive risk map.

  • Updated May 8, 2026
  • Python

Improve this page

Add a description, image, and links to the cloudburst topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the cloudburst topic, visit your repo's landing page and select "manage topics."

Learn more