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Marine Tourism Eco-Permitting Agent for Oman Coastline

Marine tourism is set to drive Oman growth across coastal development zones. Build an automated environmental impact and permitting clearance agent in Python that validates resort marina layout specs against coral reef proximity and marine sanctuary buffer rules. Achieve 100% policy compliance accuracy on environmental filing checks.

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What you are building

Develop an automated permitting verification system in Python to check marine tourism construction layouts against Oman's environmental protection guidelines.

How work is evaluated

Evaluation

Evaluates environmental permitting validation against regulatory buffer zones.

Datasets

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

How submissions are scored

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

buffer_zone_check

Ensures distances under required buffer trigger rejection

Binary check

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

Dimension 2

regulatory_precision

Accuracy in applying complex environmental rules • 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

  • Parse spatial marina construction coordinates against marine protected area (MPA) shapefiles.

  • Extract environmental mitigation constraints from Omani regulatory guidelines.

  • Evaluate proposed jetty construction parameters for coral reef impact.

  • Output automated approval/rejection decision documents.

Resources

Dataset notes

Geospatial markers of Omani marine sanctuaries and tourism project proposals.

Challenge setup

Evaluates environmental permitting validation against regulatory buffer zones.

Challenge input

JSON containing project name, jetty coordinates, and dredging depth

Python GIS Tools

Provides geo-distance math calculations.

Evaluated output

JSON with status, buffer_distance_meters, and compliance_pass

Evaluation checks
  • Ensures distances under required buffer trigger rejection
  • Accuracy in applying complex environmental rules • target: 1 • range: 0-1
Configured evaluation evidence
  • Benchmark: EcoPermitBench
  • Regulatory Precision target: 1
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Shows the first task, up to three tools, and up to three evidence items.

View technical recipe

Configured tools

Action Space
  • LiveKit · Required
  • Libretto · Optional
  • Dora · Optional

Evaluation contract

  • buffer_zone_check · Weight 1
  • regulatory_precision · Weight 1

Metrics

  • regulatory_precision · Target 1

Benchmarks

  • EcoPermitBench
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON containing project name, jetty coordinates, and dredging depth

    Output: JSON with status, buffer_distance_meters, and compliance_pass

    Execution harness: Python

Evaluation tools

  • Python GIS Tools · Spatial Engine

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Marine Tourism Eco-Permitting Agent for Oman Coastline