A research-backed decision-support platform for Mumbai's ward-level heat vulnerability.

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UCIP tells a city planner which Mumbai wards to cool first, why, what intervention to use, and where to spend a fixed budget, grounded in published climate and ecology literature, not arbitrary weights.

Status: prototype live. The full data pipeline, HVI computation, NBS engine, and a working Leaflet frontend (choropleth, plantability layer, green-cover-change layer, ward cards, methodology page) are built and running end-to-end on real Mumbai data.

What it does

1. Heat Vulnerability Index (HVI) - grid-level (1 km) choropleth over Mumbai, rolled up to the 24 BMC wards. Weights are literature-derived (PCA per Reid et al. 2009), never arbitrary.
2. Explainability - a factor-contribution breakdown of a transparent linear index per ward. No SHAP, by design (nothing black-box to explain).
3. Nature-Based Solutions engine - rule-based recommendations (native trees, cool roofs, pocket parks, cooling centres, rain gardens) with an ecological plantability filter: trees only where restoration literature supports them (Bastin 2019), non-tree cooling elsewhere (Veldman 2019, Friedlingstein 2019).
4. Green-cover change - per-cell NDVI delta classified gained/stable/lost across two dry-season composites.
5. Methodology page - every variable, weight, dataset, assumption, and limitation, with citations, computed live from the pipeline's own output.

Demonstrated on Mumbai; the architecture is city-agnostic.

Quick Start

git clone https://github.com/AnayDhawan/ucip.git
cd ucip/frontend
npm install
npm run dev

Opens at localhost:3000. The dashboard runs entirely off the committed GeoJSON snapshots in data/, so no Supabase or Google Earth Engine credentials are needed to browse it. See CONTRIBUTING.md for the full pipeline setup (only needed if you're touching the data layer).

Structure

frontend/   Next.js 16 + TypeScript + Tailwind + Leaflet (map, ward cards, methodology page)
pipeline/   Python 3 + Google Earth Engine (grid, HVI, NBS rules, sensitivity check)
supabase/   Postgres + PostGIS schema and migrations
data/       Ward boundaries + committed GeoJSON snapshots (demo-safe fallback)
docs/       Methodology, citations, screenshots

Contributing

See CONTRIBUTING.md. Please read the Code of Conduct first.

License

Apache 2.0, see LICENSE.