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seismosafe-nepal – AI Model by un1u3 | AlphaNeural AI

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un1u3/
seismosafe-nepal

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tabular-classification

damage-prediction

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SeismoSafe Nepal – Earthquake Damage Classifier

LightGBM classifier that predicts building damage levels from the 2015 Gorkha earthquake in Nepal using structural, geographical, and ownership data.

Labels: 1 = low damage, 2 = medium damage, 3 = almost complete destruction
Metric: Micro-averaged F1 | Score: 0.7433

Usage

python

from huggingface_hub import hf_hub_download
import joblib

model = joblib.load(
    hf_hub_download("un1u3/seismosafe-nepal", "sklearn_model.joblib")
)

preds = model.predict(X)

Model

Algorithm: LightGBM
Validation: 5-fold stratified CV
Key features: Geo target encoding, material risk scores, structural interaction features

Author

Unique Shrestha — GitHub | uniquestha422@gmail.com