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LiveData-driven location scoring for SMEs.

LokaSkor Pro

AI-powered location analysis and scoring platform for entrepreneurs evaluating where to open a business.

Role: Full-stack · product + AI loop

System overview

Turn competition, demographics, foot traffic, and accessibility signals into a 100-point location score that helps entrepreneurs pick venues with evidence instead of gut feel.

Status & notes

Pilot region is Yenimahalle, Ankara. The 'Discover New Opportunities' mode is still in progress. For the most stable demo, pick Yenimahalle + Pharmacy in Comparison mode.

Tech stack

Frontend

JavaScriptTypeScriptTailwind CSSHTML

Backend

PythonFlaskJupyter Notebook

Database

SQLite

AI & Tools

Kimi K-2Qwen3-CoderKiro CodeRoo CodeClaude 4 SonnetPrompt Engineering

APIs used

  • Google Street View Static APIReal-world imagery for candidate locations.
  • OpenStreetMap APIMap tiles and geospatial data.

Evolution

  1. V4

    Professional analytics & parameter optimisation

    Earlier versions produced decent scores but tweaking weights was painful. V4 adds a flexible parameter editor so each section of the 100-point score can be retuned without touching code.

  2. V3

    Modern comparison UI + AI-assisted tuning

    Picked two random locations from the supported region, compared all metrics, and hand-scored them. Fed the dataset to an AI model to propose new parameter weights, then iterated until the scores matched human judgment closely.

  3. V2

    Data layer + user-facing interface

    Refined the UI for end users. By this point the parameters were stable and the 100-point score felt trustworthy rather than experimental.

  4. V1

    Concept validation + backend

    First prototype to validate the scoring logic and map rendering. The goal was to watch the backend behave, nudge parameters from an admin panel, and prove the idea was worth building out.

LokaSkor Pro