Subcontractor-Delay-AI

Goal. Investigate the impact of subcontractor availability on heavy construction delay and build an AI-based early warning system for subcontractor performance deterioration on FDOT roadway projects.

Research Focus

• Topic A: AI-Based Early Detection of Subcontractor Performance Deterioration: Preventing Cascade Failures in Infrastructure Projects
  • RQ: Can AI detect early warning signs of subcontractor performance deterioration in daily construction reports, and what is the cascade impact when detection fails?
  • Motivation: “Early detection could have prevented $395,006 in damages—here’s the AI that can do it.”

What’s in this repo

• /data/ raw docs (PDF/Word/JSON/CSV) — keep private
• /src/ reusable Python modules
• /output/ generated tables/figures
• /docs/ writeups, figures, and paper text

Data availability: see /docs/DAS.md. If a DOI is issued (Zenodo), it will be listed there.