Managing diabetes and insulin intake can be a constant challenge, requiring careful meal planning and precise dosage adjustments. Imagine a system that could analyze your meals, predict your blood glucose levels, and recommend personalized insulin dosages, all without constant oversight from a healthcare professional. Researchers have developed DIETS (Diabetic Insulin Management System), an AI-powered framework designed to do just that. DIETS uses the power of large language models (LLMs), the same technology behind ChatGPT, to understand your meal descriptions and estimate their nutritional content, including carbohydrates, proteins, and fats. This information, along with your historical blood glucose data and personal information, is fed into a sophisticated AI model that generates recommended insulin injection strategies, not just for a single dose, but for a series of dosages over the next two hours. To ensure safety, DIETS includes a glucose prediction model that forecasts your future blood glucose levels based on the recommended insulin strategy. If the prediction indicates a risk of hypoglycemia (low blood sugar) or hyperglycemia (high blood sugar), the system automatically re-evaluates and adjusts the insulin recommendations until a safe plan is generated. This constant monitoring acts as a safeguard, preventing potentially dangerous blood sugar fluctuations. Tested on real-world datasets, DIETS outperformed existing state-of-the-art methods in both insulin strategy determination and glucose prediction. While the system primarily focuses on bolus insulin (taken around mealtimes), its comprehensive approach represents a significant step towards automated and personalized diabetes management. The future of DIETS could involve integration with wearable devices like smartwatches and insulin pumps, further streamlining diabetes care and empowering individuals to manage their condition more effectively in their everyday lives.