LogMeal Food AI

Categories: Healthcare, Data Analysis, Business & Sales | Pricing: Freemium | Official Website ↗

LogMeal provides AI-powered food recognition and nutritional analysis from images, offering solutions for health, wellness, sports, and food service.

LogMeal Food AI is a leading company in food recognition and nutritional analysis, leveraging deep learning technology. It uses artificial intelligence to identify meals and their nutritional characteristics from an image. The core offering is an AI Nutritional Analysis API that can be integrated into various health, wellness, and sports applications and software. The platform offers specialized software solutions for nutritionists, dietitians, and sports professionals to optimize time and provide personalized nutritional tracking. Additionally, LogMeal provides an automatic self-checkout solution for restaurants and canteens, and nutritional monitoring software for hospitals to track patient diets. The technology detects over 1300 different dishes using a large food image dataset and has been applied in diverse projects, from elderly food tracking to medical solutions for diabetes and kidney disease patients, and autonomous payment devices.

Key Features

AI Nutritional Analysis API
Food identification from images
Nutritional data extraction
Recipe data extraction
Portion estimation
Software for nutritionists and dietitians
Software for sports nutrition tracking
Self-checkout solution for restaurants

Pros

Utilizes a large food image dataset for high accuracy
Offers specialized solutions for various sectors (health, sports, restaurants)
Provides an API for easy integration into existing applications
Team has extensive experience in computer vision and deep learning
Supports a credit-based system for flexible usage

Cons

Pricing details for paid plans are not explicitly listed on the pricing page
Customer support is primarily email-based for standard plans
Free trial has limitations on queries and registered users
Requires API integration for full functionality
Specific credit consumption details depend on API endpoints

Use Cases

Automated food diaries for health tracking
Personalized meal planning and diet recommendations
Nutritional performance analytics for athletes
Self-service payment systems in food establishments
Monitoring and reducing food waste
Nutritional estimation for medical patients

Best For

Health and wellness application developers
Nutritionists and dietitians
Sports professionals and athletes
Restaurants and canteens
Hospitals and healthcare facilities
Companies focused on food waste reduction

Platforms: Web

Watch demo on YouTube ↗

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