SugarLite is a mobile application designed for individuals monitoring their blood glucose levels. Its primary function is to provide a structured platform for recording, analyzing, and managing glucose data alongside related lifestyle factors such as diet and exercise. The app targets a range of users, including those with diabetes or prediabetes, individuals following low sugar or controlled carbohydrate diets, and anyone seeking to understand their post meal glucose responses. It supports integration with Apple Health and offers cloud based data synchronization across devices. The application includes several core capabilities. Users can log pre meal and post meal blood glucose values, with the app automatically generating visual trend curves based on reference ranges from the International Diabetes Federation. A diet recording feature allows quick entry of meals using a built in food database or custom additions, and it calculates carbohydrate intake automatically. The app also enables users to record exercise sessions and observe how different activity levels affect glucose fluctuations. Through paired analysis of pre meal and post meal readings, SugarLite identifies which foods are associated with stable glucose levels and which may require caution. An AI driven insight module provides personalized recommendations based on accumulated data. Additionally, the app supports Bluetooth synchronization with Roche blood glucose meters. Typical use involves regularly entering glucose readings, meals, and physical activity. Over time, the app aggregates this information to display trends and generate actionable observations about individual glucose patterns. The workflow is designed to help users identify which foods and activities support their target glucose range, enabling more informed daily decisions. Data is automatically synced to the cloud upon login, ensuring continuity when switching devices. The application is available on iOS and has received a 4.9 out of 5 rating on the App Store, with over five million users and a database of more than ten thousand nutritional data points.