A new AI-driven pipeline uses recurrent neural networks and advanced feature engineering to predict blood glucose levels. This system aims to reduce risks of hypoglycemia and hyperglycemia through more accurate forecasting. The study demonstrates how hybrid data processing enhances prediction reliability. Practitioners can now apply these specific architectural refinements to improve chronic disease monitoring tools.