Maniik Ambara@ambarayo

MBG is a cutting-edge nutrition analysis platform designed to simplify and modernize the way people monitor their daily food intake. By combining Computer Vision technology with a multi-layered nutrition database, MBG enables users to simply take a photo of their meal and instantly receive a detailed nutritional breakdown, including calorie estimation, macronutrients, and micronutrient distribution. The inspiration behind MBG comes from a common problem faced by millions of people worldwide: nutrition tracking is difficult to maintain consistently. Research shows that many individuals underestimate their daily calorie consumption by as much as 30–40%, not because they lack awareness, but because manual calorie counting and food logging are time-consuming, repetitive, and inconvenient. MBG addresses this issue by creating a seamless and intelligent alternative that removes the friction from healthy eating habits. This system is designed to simplify the nutritional analysis of food. Using AI-based image recognition, MBG analyzes food composition from captured images, identifies ingredients, and maps them to an extensive nutritional database to generate accurate dietary insights in real time. This process allows users to easily make informed nutritional decisions without requiring in-depth knowledge of nutrition science. Beyond calorie estimation, MBG aims to provide a more comprehensive understanding of food consumption. Users can explore nutrient balance, and portion analysis making the platform suitable not only for casual health tracking but also for fitness enthusiasts, diet planners, and individuals pursuing healthier lifestyles. MBG represents a step toward smarter health technology by integrating accessibility, automation, and intelligent analysis into a single user-friendly experience. Our mission is to make nutrition tracking sustainable, intuitive, and engaging so that healthier living becomes easier for everyone

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