This research focuses on building AI-based surrogate models for plant-scale hydroprocessing units, including hydrocrackers and hydrotreaters. Using real industrial datasets, I trained models to approximate complex plant behavior under varying operating conditions. The models are designed to aid in optimization and predictive control applications, enabling faster decision-making and improved energy efficiency. (Souvik)