Visual Archetype Analysis of Geodemographic Clusters using Vision Language Models

74% of India's districts are in High or Critical health risk — and the data proves it. Analyzed 101 health indicators across 707 districts using NFHS-5 (2019-21) government data. Built composite Health Risk Score, KMeans clustering (4 risk tiers), Folium map, and Streamlit dashboard. Stack: Python · Pandas · Scikit-learn · Streamlit.

LLM-augmented geodemographic classification of Indian districts using NFHS-5 dataset