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Data project · client

Data

Multi-source territorial real-estate scoring

Data pipelineMulti-sourceLLMGCP

~10

heterogeneous sources

7 months

of development

data → decision

complete chain

Problem

Assess the real-estate appeal of a municipality to drive investment decisions, through a complete chain from raw data to decision.

Constraint

About ten heterogeneous sources, including authenticated platforms; ambiguity of homonymous municipalities; a long project run over 7 months.

Approach

  • Integration of ~10 sources (INSEE, BPE, Sitadel…) and scrapers for authenticated platforms (Playwright / Selenium).
  • Configurable scoring engine: rules externalised in Firestore, editable by administrators.
  • LLM analysis producing an investment report; n8n orchestration, GCP / Firestore deployment.

Result

  • Complete application in production: geocoding → reference municipality → collection → scoring → report.
  • Critical homonymous-municipality bug fixed by propagating an unambiguous EPCI key from geocoding through to the interface.

Stack

Pythonn8nGCPFirestorePlaywrightOpenAI

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