# Blood Bank Demand-Forecasting System

- **Author Contribution:** Sahil Tomar (dev-S-t) — Ideation, SARIMA/XGBoost modeling, simulation software execution
- **IEEE Paper:** https://ieeexplore.ieee.org/document/11584332

## Technical Architecture & Results
Integrates time-series SARIMA forecasting and XGBoost models with dynamic micro-expiry rules and Just-in-Time processing logic. Simulated testing demonstrated a reduction in platelet wastage from 11.2% to 2.5% (~78% relative decrease) while fulfilling 99.1% of demand (p < 1.22×10⁻¹²).