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Challenge

Real-Time GCC Export Terminal Telemetry & ESG Audit System with Google ADK

Environmental standards require continuous monitoring of flaring emissions and volatile organic compound (VOC) venting during crude loading operations. Build an automated ESG compliance and telemetry audit agent using Google Agent Development Kit (ADK). The agent processes real-time terminal sensor feeds, detects flaring threshold spikes, and generates formatted ESG compliance reports for sovereign environmental ministries.

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Challenge brief

What you are building

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

Build an automated ESG telemetry and emissions compliance agent using Google ADK.

Delivery guide

How work is evaluated

Evaluation

Evaluates gas flaring CO2e calculation and compliance classification.

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

breach_correctly_flagged

Ensure emission excess is flagged as NON_COMPLIANT.

Binary check

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

Dimension 2

co2e_calculation_precision

Precision of CO2 equivalent emissions math. • target: 0.99 • 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

  • Use Google ADK to process streaming sensor telemetry.

  • Implement automated ESG emission intensity calculation tools.

  • Generate regulatory audit reports conforming to environmental standards.

Resources and assets

Reference links and supporting material

Dataset notes

Terminal flaring sensor logs and sovereign environmental emission caps.

Challenge setup

Evaluates gas flaring CO2e calculation and compliance classification.

Challenge input

JSON with flared_gas_mscf, emission_factor_co2e, max_allowed_co2e_tons

Google ADK

Google agent development framework for telemetry reasoning.

Evaluated output

JSON with calculated_co2e_tons, breach_detected, compliance_status

Evaluation checks
  • Ensure emission excess is flagged as NON_COMPLIANT.
  • Precision of CO2 equivalent emissions math. • target: 0.99 • range: 0-1
Configured evaluation evidence
  • Benchmark: ESG-Audit-Bench
  • Co2e Calculation Precision target: 0.99
  • 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 · Required
  • Google ADK · Optional
  • Coplay AI · Optional

Evaluation contract

  • breach_correctly_flagged · Weight 1
  • co2e_calculation_precision · Weight 1

Metrics

  • co2e_calculation_precision · Target 0.99

Benchmarks

  • ESG-Audit-Bench
  • energy

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON with flared_gas_mscf, emission_factor_co2e, max_allowed_co2e_tons

    Output: JSON with calculated_co2e_tons, breach_detected, compliance_status

    Execution harness: Python

Evaluation tools

  • Google ADK · Agent Architecture

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Real-Time GCC Export Terminal Telemetry & ESG Audit System with Google ADK