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Challenge

Build a Refinery Incident Repair Scheduler with Google ADK and Gemini

Unplanned refinery damage requires emergency mobilization and rapid repair sequencing to safely restore refining capacity. Build an agent system using Google Agent Development Kit (ADK) and Gemini 1.5 Pro to synthesize incident damage logs and coordinate replacement parts with less than 5% scheduling downtime conflict.

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Challenge brief

What you are building

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

Develop an emergency refinery repair scheduler using Google ADK with Gemini multimodal capabilities.

Delivery guide

How work is evaluated

Evaluation

Evaluates emergency repair task plan generated by Google ADK agent against refinery safety rules.

Datasets

Shared data for this challenge

Review public datasets and any private uploads tied to your build.

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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

purge_before_weld_check

Ensures hydrocarbon purging step is sequenced before mechanical valve replacement

Binary check

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

Dimension 2

safety_permit_completeness

Percentage of required safety permits identified • target: 1 • 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

  • Build incident dispatch workflows using Google Agent Development Kit (ADK)

  • Process damage photos and text reports using Gemini multimodal capabilities

  • Generate prioritized repair work packs for Kuwait refinery units

  • Integrate automated resource availability checks against contractor inventory

Resources and assets

Reference links and supporting material

Dataset notes

Synthetic refinery maintenance damage reports and part replacement catalogs based on Mina Al-Ahmadi and Al-Zour repair operations.

How this agent runs

Evaluates emergency repair task plan generated by Google ADK agent against refinery safety rules.

Challenge input

JSON containing unit_id, damage_severity, replacement_parts_needed

Google ADK

Google Agent Development Kit integration

Gemini

Multimodal vision and text analysis

Evaluated output

JSON containing repair_sequence, estimated_hours, safety_permits_required

Checks for
  • Ensures hydrocarbon purging step is sequenced before mechanical valve replacement
  • Percentage of required safety permits identified • target: 1 • range: 0-1
Proof of success
  • Benchmark: Industrial Emergency Dispatch Bench
  • Safety Permit Completeness target: 1
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox
View technical recipe

Configured tools

Action Space
  • Google Gemini · Required
  • Google · Optional
  • Google ADK · Optional

Evaluation contract

  • purge_before_weld_check · Weight 1
  • safety_permit_completeness · Weight 1

Recipe state

This is a preview. The configuration can change before the evaluation recipe is locked.

Frequently Asked Questions about Build a Refinery Incident Repair Scheduler with Google ADK and Gemini