Predicts ICU patient survival using clinical and demographic features with logistic regression, decision trees, LASSO, and AIC-based model selection in R. Designed for healthcare decision-making with real-world medical insights drawn from 92K+ patient records.

Breast cancer prediction using ML models (Logistic Regression, Decision Tree, etc.) with preprocessing, EDA, and evaluation on the UCI dataset.

Full-stack AI dashboard that parses blood test reports using vision models and presents biomarker insights through interactive visualizations and chat.