Skip to main content
Loading navigation
Back to challenges

Real-Time Climate Resilience Scoring Engine with Vercel AI SDK

Insurers urgently need reactive climate risk dashboards that evaluate property-level exposure to compounding flood and wildfire hazards. You will build an interactive streaming risk assessment application using Vercel AI SDK to aggregate geospatial hazard maps and provide actionable resilience recommendations. Maintain a response streaming latency under 200ms with a risk calculation precision of 0.92.

Machine LearningHosted by Vera
Sign in free to start

What you are building

Build a streaming React/Next.js application powered by Vercel AI SDK to compute and stream property resilience scores.

How work is evaluated

Evaluation

Evaluate streaming UI latency and precision of climate resilience scoring recommendations.

Datasets

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

How submissions are scored

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

valid_score_range

Resilience score is an integer between 0 and 100.

Binary check

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

Dimension 2

ttft_ms

Time To First Token latency in milliseconds • target: 200 • range: 0-500

Binary check

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

Dimension 3

recommendation_precision

Precision score of resilience hazard mitigations • target: 0.92 • 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

  • Implement streaming AI UI interfaces using Vercel AI SDK (useChat, streamText)

  • Process geospatial flood and wildfire raster layers

  • Generate dynamic resilience modification recommendations

  • Optimize real-time model streaming latency in web runtimes

Resources

Dataset notes

Geospatial flood risk maps, elevation grids, and property resilience upgrade catalogs.

Challenge setup

Evaluate streaming UI latency and precision of climate resilience scoring recommendations.

Challenge input

JSON address and coordinates

AI SDK

Lightweight TypeScript framework optimized for UI streaming and function tool calling.

Evaluated output

Streaming text payload and JSON resilience object

Evaluation checks
  • Resilience score is an integer between 0 and 100.
  • Time To First Token latency in milliseconds • target: 200 • range: 0-500
  • Precision score of resilience hazard mitigations • target: 0.92 • range: 0-1
Configured evaluation evidence
  • Benchmark: GeospatialResilienceBench-2026
  • Ttft Ms target: 200
  • 1 public reference case
Configured runtime
  • JavaScript execution harness
  • javascript 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
  • Vercel AI SDK · Required
  • Alibaba · Optional
  • Azure OpenAI Service · Optional
Orchestration
  • Vercel AI SDK · Required

Evaluation contract

  • valid_score_range · Weight 1
  • ttft_ms · Weight 1
  • recommendation_precision · Weight 1

Metrics

  • ttft_ms · Target 200
  • recommendation_precision · Target 0.92

Benchmarks

  • GeospatialResilienceBench-2026
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON address and coordinates

    Output: Streaming text payload and JSON resilience object

    Execution harness: JavaScript

Evaluation tools

  • AI SDK · Streaming Agent Framework

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Real-Time Climate Resilience Scoring Engine with Vercel AI SDK