8000 GitHub - gvsakash3/exp-ai: Explainable AI tools for product recommendation & 3D printing (Ontology codes).
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Ontology code for Recommendations & Prototyping projects.

1. Explainable Product Recommendations with Semantics (SWRL)

  • Developed a product recommendation system using Semantic Web rules.
  • Associates statistical recommendations along with explanation, to make the customer aware of "why" the recommendation.


2. Predictive ML models for Prototyping (3D Print & Additive Manufacturing)

  • Developed a prediction system for prototyping complex geometries and evaluating tool parameters.
  • The engineered model can store experimental knowledge and predictions from CAD model and tested as a guidance system for Julia 3D printer with successful builds of lag, cap screws.
  • Developed predictive models with (Decision Tree-based ensemble methods) Random Forest to assess rapid prototyping models, tabulating build quality and tool wear for machine components.
  • Cross-validated the prediction results with SVM, and with parameters of synthesized tools, before deployment at the Design lab.
  • Keywords (Semantics, Rapid Prototyping, CAD, Java/Protégé, Predictive Models)

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