Open data · Geospatial intelligence · Responsible BYOK AI

GeoBusiness Intelligence Studio

Discover, normalize, deduplicate, map, analyze, and export local-business records through an inspectable FastAPI workflow.

Version 1.2.0FastAPIOpenStreetMapVerified Windows BuildDOI 10.5281/zenodo.21539094

Use it without a terminal

Web, Windows, or source

WEB

Hosted application

Open the full FastAPI dashboard in a browser. No local installation is required.

Launch application

EXE

Windows edition

Download a self-contained executable that has been built and health-checked by GitHub Actions.

Download EXE
SHA-256 file

DEV

Source and Docker

Inspect, test, extend, and deploy the documented source code.

Open repository

GeoBusiness Intelligence Studio interface and architecture overview

Why this repository exists

From scattered place records to an inspectable workflow

Local-business records often arrive incomplete, duplicated, and inconsistent. The application converts provider-specific responses into a shared schema, preserves provenance, measures completeness, removes probable duplicates conservatively, maps results, and exports reusable data.

01

Discover

Use offline samples, OpenStreetMap, or optional Google Places.

02

Normalize

Convert varied payloads into one explicit business model.

03

Evaluate

Score completeness, deduplicate, map, analyze, and export.

Community infrastructure protection

Designed to reduce pressure on public OSM services

Nominatim and Overpass calls use request spacing, long-lived caches, simultaneous-request coalescing, stale fallback, client limits, production search caps, and replaceable provider URLs.

Guidebook and preservation

Documentation that can be read, cited, and archived

The responsive guidebook and A4 PDF explain the architecture, interface, data quality model, responsible-use boundaries, deployment paths, and research value.

Author

Faramarz Kowsari

Faramarz Kowsari

Faramarz Kowsari is an author, Software Engineer and AI researcher based in Istanbul. He works across Artificial Intelligence, prompt engineering, data-driven educational tools, algorithmic trading, classical literature, and mindfulness.