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A-02 EIA Data Analyst

Lab PDFs in, traceable compliance conclusions out

One environmental impact assessment project involves test reports from several periods, sites and labs. The AI employee is embedded in the project flow and takes over recognition, statistics and comparison, leaving people only the final professional ruling.

Position
Environmental Assessment Data AI Analyst
Industry
Environmental assessment · Consulting
Deployment
Embedded

Performance

Of data preparation per project handed to the machine
≈1 day
Of watermarked, non-standard or image-based PDFs per project
200 pages
Of values traceable to the source file and page
100%

This job, before and now

Before: done by people

  • Opening PDFs page by page and reading numbers through watermarks to key them in by hand
  • Building tables by hand and calculating maximums and minimums by monitoring point and factor
  • Checking national standards again and again, comparing item by item hundreds of times
  • One wrong number can skew the compliance conclusion, and review means starting over

Now: AI employee

  • A vision model reads non-standard PDFs and extracts time, point, factor and value
  • Deterministic rules handle classification, point normalization and extreme-value calculation
  • Results are compared with national standards automatically, and anomalies stop for human judgment
  • Outputs Word reports and summary tables, and turns the data into a company asset

Workflow

  1. 1

    Multi-lab PDFs

    Wastewater / exhaust gas / noise / solid waste

  2. 2

    OCR + extraction

    Samples, factors, periods, test values

  3. 3

    Statistics and validation

    Extremes, averages, regulatory thresholds

  4. 4

    Deliverables

    Word report / summary tables / evidence chain

It runs as a node in the project management system: the model reads, deterministic code calculates, and the engineer makes the final call.

On the job

Real system screenshots. Click to view full size.

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