NutriGuru, a Food Detection and Nutrition Tracking Mobile Application based on Deep Learning and Computer Vision Techniques

In this rapidly moving digital world, dietary decisions are highly influenced by technology; however, the prevalence of unhealthy eating is unconscionably rising, especially in Malaysia, where many individuals are suffering from non-communicable diseases (NCDs) such as obesity, diabetes, and hypertension. Hence, NutriGuru aims to develop a mobile application based on computer vision technology, YOLOv8 (You Only Look Once) model, to detect Malaysian dishes. The application operates by using a camera or search feature to detect Malaysian dishes with estimated portion sizes. It retrieves the nutritional information, logs it to the daily tracker, and provides personalized dietary recommendations. The paper contributes to research on innovative food detection and nutrition tracking tools and offers a convenient way for users to easily track Malaysian dishes and address various health issues related to diet.