dice-ml

Explainable, counterfactual & GenAI pipeline that turns sleep & lifestyle data into actionable stress-reduction advice — Predict (CatBoost/RF/TabNet) → Explain (SHAP) → Prescribe (DiCE) → Naturalize (GPT-4o-mini).

This is a XAI-powered heart disease risk predictor using SHAP, LIME, PDP & DiCE counterfactuals-deployed on Streamlit

Explainable AI-enabled Business Intelligence decision support system for customer retention in retail SMEs using Random Forest, SHAP, DiCE, RFM segmentation and Streamlit.

Explainable ML pipeline that clusters feasible counterfactuals and distills them into global interpretable rules using DiCE, SHAP, Polars, DuckDB, and scikit-learn.

Explainable, counterfactual-driven decision support system for credit risk prediction. Combines SHAP/LIME-based risk scoring with a counterfactual recommendation engine for rejected applicants, subgroup fairness auditing (demographic parity, equalized odds), and an interactive dashboard for applicants and loan officers.