AI-assisted Prediction & Optimization of Micropollutants Removal with Forward Osmosis Membranes — this repo provides the curated dataset (642 experiments across 17 commercial/lab-fabricated FO membranes and 102 micropollutants, with standardized chemical, membrane, and process descriptors in Dataset.csv) plus the Python scripts used to train, tune, and interpret the GBR and ANN models for water flux and rejection-rate prediction.