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Challenge

Google ADK Federal Advisory Strategy Analyzer with Gemini

Analyzing public health advisory testimony and strategic plan documents demands multimodal document processing and compliance checking. Build a Google ADK agent powered by Gemini to parse multi-modal hearing transcripts and extract prioritized research funding allocations. Ensure complete source citation verification across 100 percent of extracted metrics.

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Challenge brief

What you are building

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

Build a multimodal public health intelligence agent using Google ADK and Gemini to extract, structure, and verify strategic research allocations from committee records.

Delivery guide

How work is evaluated

Evaluation

Evaluates citation accuracy, funding priority extraction precision, and response generation quality.

Datasets

Shared data for this challenge

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

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

citation_completeness

Checks if every extracted priority item includes a timestamp citation.

Binary check

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

Dimension 2

extraction_precision

Precision of extracted budget numbers against ground truth text. • target: 0.95 • 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

  • Initialize Google Agent Development Kit (ADK) agent structure with Gemini 1.5 Pro

  • Process multimodal inputs (audio transcripts, PDF policy briefs, presentation charts)

  • Extract structured research grant priority metrics and budget target recommendations

  • Verify citation alignment against original transcript timestamps

Resources and assets

Reference links and supporting material

Dataset notes

Transcripts and presentation slides from federal advisory committee meetings regarding autism research strategic plans.

How this agent runs

Evaluates citation accuracy, funding priority extraction precision, and response generation quality.

Challenge input

JSON containing transcript_text and document_image_urls

Google ADK

Required framework for building Vertex AI agent architectures.

Gemini

Provides multi-hour context length and multimodal ingestion.

Evaluated output

JSON with strategic_priorities array, target_funding_millions, and citations

Checks for
  • Checks if every extracted priority item includes a timestamp citation.
  • Precision of extracted budget numbers against ground truth text. • target: 0.95 • range: 0-1
Proof of success
  • Benchmark: PolicyDoc-Bench
  • Extraction Precision target: 0.95
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox (unavailable on Versalist)
View technical recipe

Configured tools

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

Evaluation contract

  • citation_completeness · Weight 1
  • extraction_precision · Weight 1

Recipe state

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

Frequently Asked Questions about Google ADK Federal Advisory Strategy Analyzer with Gemini