README.md

metadata

title: ClimaIQ Kisan
emoji: 🌾
colorFrom: green
colorTo: gray
sdk: streamlit
app_file: app.py
pinned: false
license: apache-2.0

ClimaIQ Kisan

Climate-adjusted credit scoring for Indian agricultural lending: Kisan view, loan officer scorecard and PDF-ready report, and portfolio stress scenarios. Bilingual (English / Hindi) narratives via Google Gemma (cloud) or local Ollama.

Dataset (in this Space)

data/climaiq_india_agricultural_credit_1000.csv — 1,000 synthetic loans (Maharashtra / Punjab, crops, SPI, rainfall deficit, engineered features, default label, ClimaIQ score and risk band), aligned with the same generator and model as the app.

Optional secret

Add GEMMA_API_KEY (Google AI Studio) under Space Settings → Secrets for cloud Gemma. Without it, open the app and use Local (Ollama) only when you run Streamlit on your own machine; the hosted Space still runs the ClimaIQ model and charts without the key.

Local run

pip install -r requirements.txt
streamlit run app.py