Build a Cross-Border Semiconductor Shock Excursion Proof Generator
Evaluate IoT accelerometer logs during transit of precision semiconductor equipment. Synthesize verifiable TradeTrust incident dossiers and itemized supplier damage claims for mechanical shock and vibration excursions.
What you are building
The core problem, expected build, and operating context for this challenge.
Evaluate IoT accelerometer logs during transit of precision semiconductor equipment. Synthesize verifiable TradeTrust incident dossiers and itemized supplier damage claims for mechanical shock and vibration excursions.
Transit Quality Auditor
Parse IoT accelerometer telemetry capturing mechanical shock and vibration g-forces along cross-border haulage routes.
Identify sustained vibration or acute shock impacts exceeding manufacturer transit tolerance thresholds.
Assemble excursion sensor proofs into an OpenAttestation compliant inspection document and calculate merkle roots.
Draft itemized damage investigation packets for transit insurance claims.
Vibration timeline viewer displaying telemetry graphs, sensor calibration hashes, and damage claim drafts.
Simulated IoT accelerometer CSV exports mimicking heavy machinery transport movements across borders. Starter examples below are synthetic. They are not downloaded records.
OpenAttestation Applies OpenAttestation wrapDocuments to produce tamper-evident cargo violation bundles with Secp256k1 verification parameters.
dspy, pandas, typescript. DSPy systematically optimizes prompt pipelines for compiling complex multi-sensor shock excursion claims into objective audit records. Hosted reasoning model accessed via standard LLM API to evaluate mechanical shock transit excursion thresholds.
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.
Detect mechanical shock excursions exceeding threshold g-forces during the transit period.
Wrap the excursion incident record using the OpenAttestation schema conventions.
Produce an itemized loss estimate based on unit pricing and damage severity.
Output a defensible insurer claim summary without emotional or speculative language.
```json [ { "input": { "consignment_id": "SEMI-SG-4412", "commodity": "Lithography Lens", "max_shock_tolerance_g": 3, "telemetry_points": [ { "time": "2025-03-01T10:00:00Z", "shock_g": 0.5 }, { "time": "2025-03-01T10:30:00Z", "shock_g": 4.2 } ], "unit_value_sgd": 4500000 }, "expected_output": { "excursion_detected": true, "max_shock_g": 4.2, "estimated_loss_sgd": 4500000, "proof_wrapped": true, "claim_status": "CLAIM_DOSSIER_COMPILED", "record_type": "simplified synthetic app record" } }, { "input": { "consignment_id": "SEMI-SG-4413", "commodity": "Wafer Batch", "max_shock_tolerance_g": 5, "telemetry_points": [ { "time": "2025-03-01T14:00:00Z", "shock_g": 1.2 }, { "time": "2025-03-01T14:15:00Z", "shock_g": 2.3 } ], "unit_value_sgd": 300000 }, "expected_output": { "excursion_detected": false, "max_shock_g": 2.3, "estimated_loss_sgd": 0, "proof_wrapped": false, "claim_status": "EXCURSION_WITHIN_TOLERANCE", "record_type": "simplified synthetic app record" } } ] ```
Claim dossiers are generated for commercial review only; no financial claims or insurance settlements are initiated. Use mock external writes. Require human review before any real deployment.
Participation guide
Claim dossiers are generated for commercial review only; no financial claims or insurance settlements are initiated. Use mock external writes and human review.
How work is evaluated
Detect mechanical shock excursions exceeding threshold g-forces during the transit period. Wrap the excursion incident record using the OpenAttestation schema conventions. Produce an itemized loss estimate based on unit pricing and damage severity. Output a defensible insurer claim summary without emotional or speculative language.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Parse IoT accelerometer telemetry capturing mechanical shock and vibration g-forces along cross-border haulage routes. Identify sustained vibration or acute shock impacts exceeding manufacturer transit tolerance thresholds. Assemble excursion sensor proofs into an OpenAttestation compliant inspection document and calculate merkle roots. Draft itemized damage investigation packets for transit insurance claims.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Detect mechanical shock excursions exceeding threshold g-forces during the transit period. Wrap the excursion incident record using the OpenAttestation schema conventions. Produce an itemized loss estimate based on unit pricing and damage severity. Output a defensible insurer claim summary without emotional or speculative language.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Vibration timeline viewer displaying telemetry graphs, sensor calibration hashes, and damage claim drafts.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Claim dossiers are generated for commercial review only; no financial claims or insurance settlements are initiated.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Parse IoT accelerometer telemetry capturing mechanical shock and vibration g-forces along cross-border haulage routes.
Identify sustained vibration or acute shock impacts exceeding manufacturer transit tolerance thresholds.
Assemble excursion sensor proofs into an OpenAttestation compliant inspection document and calculate merkle roots.
Draft itemized damage investigation packets for transit insurance claims.
Reference links and supporting material
Simulated IoT accelerometer CSV exports mimicking heavy machinery transport movements across borders. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
DSPy
Prompt and LM program optimization framework.
Evaluated output
No output checks are configured.
- Parse IoT accelerometer telemetry capturing mechanical shock and vibration g-forces along cross-border haul...
- Detect mechanical shock excursions exceeding threshold g-forces during the transit period. Wrap the excursi...
- Vibration timeline viewer displaying telemetry graphs, sensor calibration hashes, and damage claim drafts.
- 2 public reference cases
- 3 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
- DSPy · Optional
- DSPy · Optional
- DSPy · 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.