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Ogbunugafor-Philip/BankMap-AI-Nigeria-Banking-Market-Intelligence-Platform

Domain:

socioeconomicgeospatial

Record type:

software
Creator:
Ogb
Host:
Ward-level banking market intelligence platform for Nigeria. 9,308 wards · 37 states · 774 LGAs · Cerebras AI · PostGIS · React # BankMap AI — Nigeria Banking Market Intelligence Platform A ward-level banking opportunity intelligence platform covering all 9,308 wards across Nigeria's 36 states and FCT. Built to demonstrate production-grade spatial data engineering, AI integration, and full-stack deployment skills. **Live platform:** aibankmap.space **Stack:** FastAPI · PostgreSQL/PostGIS · React 19 · Leaflet.js · Cerebras AI · nginx --- ## What It Does BankMap AI computes a Banking Opportunity Index (BOI) for every ward in Nigeria and surfaces that intelligence through an interactive map with AI-generated deployment briefs. A user selects any ward on the map and immediately sees: - **BOI score** (0–100) with GREEN / AMBER / RED tier classification - **National rank** — exact position among all 9,308 wards - **Population breakdown** — total residents vs estimated unbanked adults - **Access gap** — distance to nearest bank branch - **BOI component radar** — ward vs LGA average across 5 dimensions - **AI deployment brief** — ward-specific, jargon-free recommendation generated by Cerebras AI (gpt-oss-120b) - **Data confidence score** — honest indicator of input data quality --- ## Banking Opportunity Index (BOI) The BOI is a composite score computed for all 9,308 wards using five weighted components: | Component | Weight | Source | |---|---|---| | Unbanked adult population | 35% | EFInA A2F 2020 + WorldPop 2020 | | Distance to nearest bank branch | 20% | OpenStreetMap + CBN | | Economic activity proxy (SIM penetration) | 15% | NCC / DHS-MICS | | Poverty index (moderate poverty = opportunity) | 10% | NBS MPI 2022 | | Market size (ward population) | 20% | WorldPop 2020 | **Normalization:** 5th–95th percentile national range (1,657–34,025 unbanked adults), preventing outlier collapse and producing a meaningful national distribution. **Tier distribution:** 1,251 GREEN · 7,106 AMBER · 951 RED --- ## Data Sources | Dataset | Granularity | Vintage | Source | |---|---|---|---| | …

Visit

github.com

Tasks

natural language generation

Languages

Tiyaa

Tags

artificial-intelligencebankingfastapifintechgeospatialleafletmarket-intelligencenigeriapostgisreact

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