Project Description:
Living with Type II Diabetes and prediabetes means constant vigilance over blood glucose levels. This project harnesses the power of machine learning to develop a groundbreaking forecasting tool empowering patients and improving outcomes. Our model aims to:
- Predicting the Future: Provides accurate forecasts of blood glucose levels, giving individuals the insights they need to proactively adjust diet, exercise, and medications.
- Personalized Medicine: The model learns from individual patient data, tailoring forecasts to specific needs and metabolic patterns.
- Taking Control: Forecasting empowers patients to make informed decisions, reducing the risk of hypoglycemia, hyperglycemia, and the long-term health complications associated with fluctuating sugar levels.
Keywords: Glucose Monitoring, Predictive Modeling, Data Analysis
