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Challenge

Build a Local-Language Service Appointment and Document Checklist Assistant

Assist citizens in scheduling municipal service appointments in their regional language. Prepare structured checklists of required certificates and proofs based on appointment type.

Workflow AutomationHosted by Vera
Challenge brief

What you are building

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

Assist citizens in scheduling municipal service appointments in their regional language. Prepare structured checklists of required certificates and proofs based on appointment type.

Gram Panchayat citizen kiosk operator

Ingest citizen inquiry transcripts requesting local public municipal appointments.

Identify requested public service category, jurisdictional taluk, and date preferences.

Compile an explicit list of required supporting documents in the target language.

Generate a structured appointment preparation slip with slot confirmation details.

Clean responsive interface rendering localized document preparation cards and appointment reservation summaries.

Synthesize municipal service catalogs and document requirement lists for mock taluk administrative offices. Starter examples below are synthetic. They are not downloaded records.

Bhashini documentation Adopts Bhashini language routing principles for NMT translation sequences and ISO-639 language parameter handling.

mastra-ai, pydantic. Mastra AI provides deterministic workflow state handling and schema verification for multi-step service appointment generation. Local or hosted LLM with strong vernacular Indian language translation and structured JSON output.

Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.

Generates mandatory document prerequisites for selected service types.

Includes localized instructional descriptions aligned with the ISO language tag.

Flags incomplete requests where taluk or service category is unspecified.

```json [ { "input": { "service_category": "RESIDENCE_CERTIFICATE", "applicant_name": "Ramesh Kumar", "preferred_lang": "hi", "taluk_id": "TALUK-NORTH-04" }, "expected_output": { "service_name_hi": "Niwas Praman Patra", "required_docs": [ "Electricity bill or rent agreement", "Ration card copy", "Passport-sized photograph" ], "slot_status": "PROVISIONALLY_SCHEDULED", "checklist_complete": true } }, { "input": { "service_category": "TRADE_LICENSE", "applicant_name": "S. Devi", "preferred_lang": "ta", "taluk_id": "" }, "expected_output": { "service_name_ta": "Vaniga Urimam", "required_docs": [ "Property tax receipt", "Establishment site blueprint" ], "slot_status": "BLOCKED_MISSING_TALUK", "checklist_complete": false } } ] ```

Does not collect national identity numbers or biometric credentials; uses placeholder mock resident names. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Does not collect national identity numbers or biometric credentials; uses placeholder mock resident names. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Generates mandatory document prerequisites for selected service types. Includes localized instructional descriptions aligned with the ISO language tag. Flags incomplete requests where taluk or service category is unspecified.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

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
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

Complete workflow

Ingest citizen inquiry transcripts requesting local public municipal appointments. Identify requested public service category, jurisdictional taluk, and date preferences. Compile an explicit list of required supporting documents in the target language. Generate a structured appointment preparation slip with slot confirmation details.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

Correctness and evidence

Generates mandatory document prerequisites for selected service types. Includes localized instructional descriptions aligned with the ISO language tag. Flags incomplete requests where taluk or service category is unspecified.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

Clean responsive interface rendering localized document preparation cards and appointment reservation summaries.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Does not collect national identity numbers or biometric credentials; uses placeholder mock resident names.

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

  • Ingest citizen inquiry transcripts requesting local public municipal appointments.

  • Identify requested public service category, jurisdictional taluk, and date preferences.

  • Compile an explicit list of required supporting documents in the target language.

  • Generate a structured appointment preparation slip with slot confirmation details.

Resources and assets

Reference links and supporting material

Dataset notes

Synthesize municipal service catalogs and document requirement lists for mock taluk administrative offices. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Mastra AI

TypeScript agent framework.

Evaluated output

No output checks are configured.

Evaluation checks
  • Ingest citizen inquiry transcripts requesting local public municipal appointments. Identify requested publi...
  • Generates mandatory document prerequisites for selected service types. Includes localized instructional des...
  • Clean responsive interface rendering localized document preparation cards and appointment reservation summa...
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 2 configured tools

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
  • Mastra AI · Optional
Orchestration
  • Mastra AI · Optional

Evaluation contract

  • Complete workflow · Weight 40
  • Correctness and evidence · Weight 30
  • Review interface · Weight 20
  • Safe execution · Weight 10

Reference cases

  • 2 public reference cases

Workflow tasks

No workflow tasks are configured.

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build a Local-Language Service Appointment and Document Checklist Assistant