Cal AI

Cal AI is a mobile application designed to help users track their daily calorie intake and nutritional information by simply taking a photo of their food. The core functionality relies on computer vision and machine learning models that analyze images of meals, automatically identifying the types of food present and estimating portion sizes, then calculating the corresponding calories, macronutrients (protein, fat, carbohydrates), and other dietary data. Users open the app, snap a picture of their plate or individual items, and within seconds receive a breakdown of what they are consuming. This eliminates the need for manual entry, searching through large databases, or keeping a food diary. The app is aimed at individuals who want to monitor their eating habits for weight management, fitness goals, or general health awareness without the friction of traditional logging methods. The underlying technology uses a trained neural network that recognizes over hundreds of common food categories, from fruits and vegetables to complex dishes like pasta, sandwiches, salads, and cooked meals. It can also distinguish between similar items—for example, differentiating a grilled chicken breast from fried chicken based on visual clues like texture and color. The portion estimation is based on reference objects in the image (such as a fork, plate size, or hand) and learned volumetric models. The app provides feedback with confidence scores, allowing users to manually adjust portions if the estimate seems off. Beyond single items, the app can process multiple foods in one photo, segmenting them and giving per-item data. For accuracy, the system continuously updates its models based on user corrections and new food examples. Users can also input custom foods or scan barcodes on packaged