Integrated BioSTEAM–LCA and Machine Learning Decision Support for Sustainable Oleamide Production from Waste Cooking Oil

An integrated BioSTEAM-based process simulation and life cycle assessment (LCA) framework for oleamide production from waste cooking oil. The model incorporates seven environmental impact categories, 5,000-run Monte Carlo uncertainty analysis, three machine learning algorithms, sensitivity analysis, and an AI-assisted decision support system. All model data, source code, and supporting outputs are attached to this repository.