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Draft evaluation

Build a Wastewater Telemetry Anomaly Detector with AI SDK and o3 — evaluation

Evaluates the accuracy and response time of the AI SDK telemetry classifier on simulated wastewater PLC streams.

Evaluation type
task based
Challenge
Build a Wastewater Telemetry Anomaly Detector with AI SDK and o3
Difficulty
Intermediate
Rigor
Not declared

The author has not specified a rigor level.

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Evaluation overview

How the linked challenge is judged: tasks, benchmarks, and criteria count.

Tasks
1
Benchmarks
0
Criteria
0

Task templates

Inputs and expected outputs.

Task 1

aeration_anomaly_eval

Evaluates telemetry batch for correctly identified aeration failures.

Input format

JSON object with time-series sensor array (do_level, airflow_rate, power_kw, timestamp)

Output format

JSON object with anomaly_detected (boolean), root_cause (string), confidence (float)