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LogMeal provides advanced AI-driven food recognition and nutritional tracking through its API and SDK solutions. It identifies dishes, ingredients, and portion sizes from photos, returning a complete nutritional breakdown with calories, proteins, carbs, fats, and micronutrients. The platform serves health, fitness, and wellness apps, hospitals, and food service providers, offering both on-premise and cloud-based deployment. White-label options allow brands to customize their own nutrition assistant. With deep learning models trained on millions of images, LogMeal ensures high accuracy across cuisines. Developers use its scalable REST API to integrate food recognition seamlessly, improving user engagement and data-driven wellness tracking.

Key Features:

  • AI-based food recognition from images or camera input

  • Detection of 1,300+ dishes, ingredients, and food groups

  • Portion estimation and full macro-/micronutrient analysis

  • REST API and SDKs for easy integration into apps and systems

  • White-label app for custom nutrition and wellness solutions

  • Scalable cloud or on-device processing for enterprise use

Industries:

  • Health & Wellness

  • Food & Nutrition

  • Fitness & Sports Apps

  • Healthcare & Hospitals

  • AI & Computer Vision

LogMeal is ideal for developers, health organizations, and food service companies looking to automate nutrition tracking. A fitness app can let users snap meal photos to automatically log calories, macros, and ingredients, creating personalized meal insights. Hospitals can use LogMeal to monitor patient meals and dietary compliance. Nutritionists and dietitians can integrate it into client dashboards to track progress in real time. Restaurants and self-service dining venues can deploy LogMeal for smart checkout or calorie display. Wellness platforms can embed the API for seamless food logging experiences without manual entry. Its scalable REST architecture allows integration across mobile, web, and kiosk systems. The AI continually learns from new datasets, improving detection accuracy for local and international cuisines. Clients benefit from improved engagement, accuracy, and reporting. Over time, the data collected helps reveal trends, dietary patterns, and performance metrics, supporting smarter nutrition decisions.

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