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Urban Life AI

An AI-powered simulator for urban resilience.

Digital representation of everyday urban life

The challenge

A geospatial intelligence platform for modelling climate adaptation and urban-risk management in Kinshasa.

Kinshasa faces chronic flooding, rapidly advancing erosion gullies and dense informal development. Urban Life AI models spatial spillovers to show how interventions such as drain clearance, slope reforestation or neighbourhood restructuring can protect - or affect - surrounding areas and help prioritise investment fairly.

Project profile

Geography

Kinshasa · Democratic Republic of the Congo

Technology

GAT · PostGIS · Streamlit/Folium · LLM

Focus

Predictive planning · Risk management · Geospatial decision support

Our approach

From idea to lasting capability

Designed to become useful in practice.

01

Develop an interactive geospatial simulation platform for neighbourhood resilience.

02

Train a Graph Attention Network with drainage, vegetation, flood-risk and impervious-surface variables.

03

Compare intervention and climate-shock scenarios through interactive maps and impact metrics.

04

Use an LLM decision-support module to interpret results and generate disaster-risk diagnostics.

What it enables

Knowledge that supports action.

An operational GAT-based geospatial simulator

Dynamic maps of resilience gains and losses

Decision dashboards measuring secured population and spatial shield effects

AI-generated strategic diagnostics

A tool for prioritising resilient urban investment

The DGII foundation

01Data02Governance03Implementation04Impact

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