SUMMARY AI summary by gpt-5-mini
AI Production Quality Analyzer is an AI-assisted quality analytics demo that predicts scrap risk, surfaces process drivers, performs rule-based root-cause analysis (RCA), and generates engineering recommendations and dashboard-ready outputs. It’s a portfolio tool for data scientists, ML engineers, process and manufacturing engineers, and technical operations to demonstrate end-to-end quality analytics on synthetic production data — not a production control system. Key features: synthetic manufacturing dataset; Random Forest scrap-risk classifier with comparisons to Logistic Regression and Gradient Boosting; feature-importance interpretation; threshold tuning and cost-based threshold optimization; deterministic RCA rules and drill-down dashboard table; exports (dashboard JSON, Markdown quality report, CSVs, saved model). Limitations: synthetic data, no live system integrations, and RCA outputs are decision-support signals rather than proven causal findings.
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| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 18:16 |
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