Critique a CNN-Based Bridge Safety Proposal
Company: Gsa
Role: Data Scientist
Category: Machine Learning
Difficulty: medium
Interview Round: Technical Screen
Overview: A proposed project collects bridge drawings from Wikipedia, trains a CNN to predict whether a bridge will collapse within the first `X` years after construction, and then starts from random image noise and uses gradient ascent on the model output to create a drawing assigned a 99.9% probability of not collapsing. Cover data and labels, leakage-safe features, baselines and model choice, offline evaluation, deployment constraints, monitoring, and drift.
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