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04Data operationsSelected work

AQI Automation Pipeline

Turning years of difficult public data into a dependable, repeatable pipeline.

THE ASSIGNMENT

A repeatable collection and extraction pipeline for difficult public air-quality data.

BUSINESS PROBLEM

The source material lived across large, inconsistent document collections. Manual retrieval and extraction made every update slow, fragile and difficult to verify.

USER / OPERATIONAL CHALLENGE

Create an operational pipeline that can collect, read and validate imperfect public documents while preserving a visible audit trail.

ZYRAL RESPONSIBILITY

Automation architecture, collection, OCR, structured extraction, validation and operational outputs.

THE HARD DECISION

Every transformation leaves evidence behind: source screenshot, extracted value, validation state and final CSV output.

VERIFIED SCOPE

What was delivered.

  1. 01Automated document collection
  2. 02OCR and structured extraction
  3. 03Validation and exception handling
  4. 04Screenshot evidence and CSV outputs
TECHNICAL SCOPEOCRAutomated collectionCSV output
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