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Build a Public Benefit Navigation Assistant for Solar Subsidy Schemes

Parse applicant household attributes and regional eligibility criteria to evaluate solar subsidy entitlement tiers. Generate itemized qualification rationales and application checklists for municipal clean energy navigators.

Workflow AutomationHosted by Vera

What you are building

Parse applicant household attributes and regional eligibility criteria to evaluate solar subsidy entitlement tiers. Generate itemized qualification rationales and application checklists for municipal clean energy navigators.

Municipal citizen assistance desk officer

Ingest applicant household utility metrics, property ownership data, and regional solar policy rules.

Evaluate sanctioned load limits, roof area availability, and income slabs against mock state eligibility criteria.

Compute estimated capital subsidies and simulate net-metering tariff bands without triggering financial disbursals.

Export an explainable eligibility dossier with itemized documentary checklists for human caseworkers.

Browser-based intake console with eligibility parameter toggles and downloadable caseworker review summaries.

Curate synthetic policy schemas and household profiles in local JSON files modeling state rooftop solar criteria. Starter examples below are synthetic. They are not downloaded records.

Beckn protocol specifications Applies Beckn context and message envelope conventions from Core 1.0.0 to structure transaction requests.

pydantic-ai, fastapi, pytest. Enforces type validation on applicant household metrics and eligibility criteria payloads. Local or hosted LLM with structured output support via OpenAI-compatible endpoints.

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.

Rejects input payloads lacking sanctioned grid load or roof area parameters.

Correctly computes subsidy bracket based on normalized property and capacity thresholds.

Generates caseworker review dossiers without executing actual financial or portal submissions.

```json [ { "input": { "household_id": "HH-2041", "state_code": "KA", "sanctioned_load_kw": 4.5, "roof_area_sqft": 450, "annual_income_inr": 750000, "ownership_status": "owner" }, "expected_output": { "eligible": true, "recommended_capacity_kw": 3, "subsidy_tier": "Tier_1_Central_State", "estimated_subsidy_inr": 78000, "caseworker_checklist": [ "Electricity Bill", "Roof Ownership Proof", "Vendor Quotation" ] } }, { "input": { "household_id": "HH-9022", "state_code": "KA", "sanctioned_load_kw": 1, "roof_area_sqft": 80, "annual_income_inr": 300000, "ownership_status": "tenant" }, "expected_output": { "eligible": false, "recommended_capacity_kw": 0, "subsidy_tier": "None", "estimated_subsidy_inr": 0, "caseworker_checklist": [ "Landlord Consent Letter", "Minimum 100 sqft Roof Area Required" ] } } ] ```

Ensures purely informational subsidy calculations without executing official scheme applications or transferring funds. Use mock external writes. Require human review before any real deployment.

Rules

Ensures purely informational subsidy calculations without executing official scheme applications or transferring funds. Use mock external writes and human review.

How work is evaluated

Evaluation

Rejects input payloads lacking sanctioned grid load or roof area parameters. Correctly computes subsidy bracket based on normalized property and capacity thresholds. Generates caseworker review dossiers without executing actual financial or portal submissions.

Submission format

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

Datasets

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

How submissions are scored

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

Complete workflow

Ingest applicant household utility metrics, property ownership data, and regional solar policy rules. Evaluate sanctioned load limits, roof area availability, and income slabs against mock state eligibility criteria. Compute estimated capital subsidies and simulate net-metering tariff bands without triggering financial disbursals. Export an explainable eligibility dossier with itemized documentary checklists for human caseworkers.

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

Rejects input payloads lacking sanctioned grid load or roof area parameters. Correctly computes subsidy bracket based on normalized property and capacity thresholds. Generates caseworker review dossiers without executing actual financial or portal submissions.

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

Browser-based intake console with eligibility parameter toggles and downloadable caseworker review 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

Ensures purely informational subsidy calculations without executing official scheme applications or transferring funds.

Binary check

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

Learning goals

  • Ingest applicant household utility metrics, property ownership data, and regional solar policy rules.

  • Evaluate sanctioned load limits, roof area availability, and income slabs against mock state eligibility criteria.

  • Compute estimated capital subsidies and simulate net-metering tariff bands without triggering financial disbursals.

  • Export an explainable eligibility dossier with itemized documentary checklists for human caseworkers.

Resources

Dataset notes

Curate synthetic policy schemas and household profiles in local JSON files modeling state rooftop solar criteria. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Challenge input

Input details are not configured.

Pydantic AI

Typed Python agent framework.

Evaluated output

No output checks are configured.

Evaluation checks
  • Ingest applicant household utility metrics, property ownership data, and regional solar policy rules. Evalu...
  • Rejects input payloads lacking sanctioned grid load or roof area parameters. Correctly computes subsidy bra...
  • Browser-based intake console with eligibility parameter toggles and downloadable caseworker review summaries.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 2 configured tools

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

View technical recipe

Configured tools

Action Space
  • Pydantic AI · Optional
Orchestration
  • Pydantic 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 Public Benefit Navigation Assistant for Solar Subsidy Schemes