Network-aware proximity classification using directed OSRM routes, triangle-inequality candidate screening, weighted source–target analysis.
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Updated
Sep 22, 2026 - Python
Network-aware proximity classification using directed OSRM routes, triangle-inequality candidate screening, weighted source–target analysis.
This repository demonstrates how local businesses can identify commuters whose likely driving routes pass near a business location you want to advertise. It uses synthetic commuter records, Google Maps API, and geospatial route analysis to show how commute-based marketing can be modelled without exposing real consumer data. Built by Furkat Kasimov
Geo-AI platform for real-time location intelligence, business viability, and cultural analytics using LocationIQ + Qloo + ML
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