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Challenge

Adnoc Gas Megaproject Cost Estimator with Google ADK & Gemini 2.5 Flash

Contractors announced $8.2bn in awards for Adnoc Gas projects. Build a multimodal estimation agent using Google ADK and Gemini 2.5 Flash to ingest engineering diagrams, bill-of-quantities (BOQ) spreadsheets, and site reports. Produce cost variance projections with a confidence threshold within 3% of baseline engineering estimates.

Business OperationsHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Utilize Google ADK with Gemini 2.5 Flash to process engineering blueprints and tabular BOQs for gas megaproject financial control.

Delivery guide

How work is evaluated

Evaluation

Evaluates accuracy of cost estimation and scope mismatch detection from BOQ files and diagrams.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

valid_calculation

Checks sum calculation accuracy across BOQ lines

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

estimation_accuracy

Accuracy relative to benchmark gold cost estimation • target: 0.97 • range: 0-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Configure Google ADK with Gemini 2.5 Flash for multimodal data processing.

  • Parse engineering schematics (P&ID) alongside pricing spreadsheets.

  • Detect cost anomalies and scope gaps across multi-billion-dollar project contracts.

  • Generate structured budget summary reports conforming to corporate governance rules.

Resources and assets

Reference links and supporting material

Dataset notes

BoQ datasets and schematic drawings based on UAE gas pipeline and processing facility expansion projects.

Challenge setup

Evaluates accuracy of cost estimation and scope mismatch detection from BOQ files and diagrams.

Challenge input

JSON with listed items, quantities, unit prices, and blueprint diagram image reference

Google ADK

Enables Vertex/Gemini native agent building.

Gemini 2.5 Flash

Fast processing of visual diagrams and text BOQs.

Evaluated output

JSON summary with total variance, flagged items, and risk score

Evaluation checks
  • Checks sum calculation accuracy across BOQ lines
  • Accuracy relative to benchmark gold cost estimation • target: 0.97 • range: 0-1
Configured evaluation evidence
  • Benchmark: MegaprojectCostBench
  • Estimation Accuracy target: 0.97
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • Google ADK · Required
  • Google Gemini · Optional
Policy Serving
  • Gemini 2.5 Flash · Optional

Evaluation contract

  • valid_calculation · Weight 1
  • estimation_accuracy · Weight 1

Metrics

  • estimation_accuracy · Target 0.97

Benchmarks

  • MegaprojectCostBench
  • energy

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON with listed items, quantities, unit prices, and blueprint diagram image reference

    Output: JSON summary with total variance, flagged items, and risk score

    Execution harness: Python

Evaluation tools

  • Google ADK · Agent System Framework
  • Gemini 2.5 Flash · Multimodal Model

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Adnoc Gas Megaproject Cost Estimator with Google ADK & Gemini 2.5 Flash