This system analyzes bridge repair method recommendation reports generated by AI agents and visualizes the decision-making pathway from damage → deterioration factors → repair methods as a Decision Tree. It aims to "make the thought process visible."
graph-visualization decision-tree predictive-maintenance cbm explainable-ai xai structural-health-monitoring condition-based-maintenance causal-analysis ai-agent bridge-maintenance bridge-inspection infrastructure-maintenance-management agentic-ai infrastructure-resilience hadr-ai reasoning-path thought-process-visualization repair-recommendation maintenance-decision-support
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Updated
Dec 13, 2025 - Python