The project will develop an AI-driven framework for bioprocess optimization by integrating real-time and historical data with advanced models such as large language models and agentic technology. It will create intelligent agents for automated reporting, data analysis, and interactive decision support, helping optimize production processes, detect anomalies, and ensure regulatory compliance. By focusing on explainable AI and robust data integration, the project aims to improve efficiency, reliability, and scalability in biopharmaceutical development.