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.
python data-science machine-learning random-forest cloudburst climate-data disaster-management nasa-power streamlit early-warning-system ml-deployment uttarakhand open-meteo himalayan-region
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Updated
Jul 9, 2026 - Python