Project-15-Predis: Anomaly Detection, Early Warning and Forecast System

Directed the R&D and AI strategy for an advanced predictive analytics platform designed to safeguard the pharmaceutical supply chain. The system leverages Time-Series Foundation Models (Amazon Chronos) for high-precision forecasting and unsupervised learning (Local Outlier Factor) to detect stock anomalies in real-time, integrated into GIS-enabled dashboards for health authorities. Supported by the TUBITAK 1501 program. (2023-2024)