Khadzhi Sarakaev

FoodLens — Know Your Food. Understand Your Nutrition. We make food choices every day, but how often do we truly understand what we eat? Nutrition labels can be confusing, ingredient lists are difficult to interpret, and even a generally healthy product may not be the right choice for someone's personal goals. FoodLens was created to change that. FoodLens is an AI-powered mobile nutrition assistant that helps people understand their food, make informed decisions, track daily nutrition, and build personalized eating plans — all in one intuitive application. What makes FoodLens different? Unlike applications that simply display calories or nutritional information, FoodLens introduces two independent, explainable scoring systems: Product Score (0–10): Evaluates a product's overall nutritional quality based on factors such as sugar, saturated fat, salt, protein, fiber, additives, and processing. Goal Match (0–10): Evaluates how well a product fits an individual's nutritional goals, daily targets, and dietary restrictions. A product can have a high nutritional quality score but a different personal suitability score. FoodLens explains why. Key Features Product Scan: Scan a barcode or product packaging to discover nutritional information, ingredients, allergens, and personalized scores. FoodLens integrates Open Food Facts and uses AI when additional analysis is needed. Label Scan: Photograph a nutrition label and transform complex information into clear, understandable nutritional insights. Meal Scan: Take a photo of a prepared meal to identify its components and estimate portion sizes, calories, protein, carbohydrates, and fat. Today: Add analyzed meals to a daily food journal and monitor nutritional intake against personalized targets. Meal Plan: Generate personalized daily meal plans based on nutritional goals, dietary preferences, allergens, and individual requirements. Powered by Meta AI FoodLens integrates Meta Muse Spark Open through Fireworks AI for multimodal food understanding, image analysis, ingredient interpretation, and personalized meal generation. We combine Meta AI with our own deterministic Nutrition Engine, Product Score, and Goal Match algorithms. AI helps interpret food information, while FoodLens independently calculates, validates, and explains nutritional results. Built with React Native, Expo, TypeScript, NestJS, and PostgreSQL, FoodLens brings together intelligent recognition, personalized nutrition analysis, and practical daily tracking in a seamless mobile experience. Our mission is simple: help people move beyond simply eating food toward truly understanding it — one scan, one meal, and one informed decision at a time.