AI-powered steel surface inspection system featuring defect diagnosis, GradCAM explainability, severity assessment, root cause analysis, and industrial risk evaluation.
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Updated
Jun 9, 2026 - Jupyter Notebook
AI-powered steel surface inspection system featuring defect diagnosis, GradCAM explainability, severity assessment, root cause analysis, and industrial risk evaluation.
This project aims at automating technical research synthesis for material science. Instead of manual parsing, it extracts essential technical entities from high-density PDFs using a dual-gate Auditor architecture to verify data and eliminate AI hallucinations
A data tool tracking cement and water contents, passing them through a Python multi-variable linear regression equation to forecast 28-day strength, flagging structural failures, and serving it on a visual dashboard
A python package for calculating permeability
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