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High-Throughput Office Asset Scoring Engine using Google ADK and TensorRT-LLM — evaluation
Evaluates classification accuracy of asset scoring and verifies sub-100ms latency execution.
Evaluation type
task based
Challenge
High-Throughput Office Asset Scoring Engine using Google ADK and TensorRT-LLM
Difficulty
Advanced
Rigor
Not declared
The author has not specified a rigor level.
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
Asset Tier Classification Test
Scores an office asset based on amenities, occupancy, and transit distance.
Input format
JSON containing occupancy_rate, transit_walk_score, lead_cert, tenant_type
Output format
JSON containing asset_tier, capital_investment_recommended, execution_time_ms