PFAS Contamination Forecasting

ML-powered system for forecasting contamination levels in U.S. water systems. Utilizes historical data from 2001-2023 to predict future PFAS concentrations, helping environmental agencies make proactive decisions. Features interactive visualizations and real-time monitoring dashboards.

Python, TensorFlow, Pandas, PostgreSQL, Docker