Lifestyle and Dietary Habits Dataset for Type 2 Diabetes Risk Prediction

This dataset was collected through a structured survey to explore the relationship between lifestyle, dietary habits, and the risk of Type 2 Diabetes. The survey includes information on eating patterns, physical activity, stress levels, health conditions, and other lifestyle-related factors from both diabetic and non-diabetic individuals.

The dataset is anonymized and designed for use in research on diabetes risk prediction, machine learning model development, and public health analysis. It can be applied to train and evaluate AI systems for personalized healthcare, lifestyle risk assessment, and preventive interventions.