Date of Publication :29th April 2023

Abstract: This real-time mobile application for diabetes patients' food recognition provides an approach for automatic food recognition that is based on web ontology. Diabetes is a chronic condition, but with ongoing, careful management, the build-up of sugars in the blood can be controlled. So, food intake and choices are significantly influenced by food recognition .This system for recognizing food, helps diabetic patients maintain their diets by making predictions based on the user's criteria (BMI, Diabetes Type, and Sugar Level), as well as the calories in the food they have already consumed. People therefore do not need to remember the number of calories in various food or what food they may have consumed. The major goal is to keep track of and maintain a diabetic patient's calorie and starch consumption in relation to their diet, without the assistance of a dietitian, and offer accurate nutrition advice. The Diet Recognition module serves as a liaison between the knowledge base and the user interface and offers what might be altered in the following meals with the calorie increase or decrease calculated in the currently consumed meal, rather than just suggesting what to eat. It also features a water reminder that notifies the user to drink water until the daily limit is reached. This is done by calculating the amount of water that should be consumed every day based on the user's details like age, weight, physical activity and gender. In addition to these, the BMI can also be calculated. As a result, this mobile application helps both diabetic and non-diabetic patients maintain a proper diet.

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