Skip to content
Case Study
Integration of Logmeal’s ai food recognition in the nestore project for coaching app for healthy living oriented to elderly people
NESTORE partnered with LogMeal to integrate an AI-powered food recognition system into its mobile app.
Background & Objectives
As the global population ages, promoting healthy lifestyles among older adults has become a public health priority. The NESTORE project (Novel Empowering Solutions and Technologies for Elderly people to Retain Everyday life activities) is a European initiative designed to support healthy aging through personalized digital coaching in nutrition, physical activity, cognitive health, and social engagement.
A core pillar of this coaching model is dietary behavior, which is traditionally hard to track consistently among elderly users due to usability barriers and the manual nature of food logging.
To address this, NESTORE partnered with LogMeal to integrate an AI-powered food recognition system into its mobile app. The goal was to:
- Enable effortless and accurate dietary monitoring through image capture
- Enhance the personalization and effectiveness of the app’s nutrition coaching
- Improve long-term user engagement by simplifying food logging for older adults
Initial Assessment
- User research identified a need for simple and intuitive meal logging tools
- Manual food diaries were found to be tedious and inaccurate, limiting their use by elderly populations
- The NESTORE team selected LogMeal’s API for integration into the app due to its ease of deployment, proven AI accuracy, & compatibility with mobile environments
AI Food Monitoring with LogMeal
- Users take photos of their meals using the NESTORE app
- The system provides instant recognition of:
- Food types
- Ingredients and portion sizes
- Nutritional content, including calories, macros, and selected micronutrients
- LogMeal’s analysis is automatically stored in the app’s nutrition coaching module, supporting real-time feedback and tracking
Implementation and Pilot Testing
- LogMeal’s API was seamlessly embedded into the NESTORE app interface
- The app was optimized for ease of use by elderly users, with large buttons, simple instructions, and voice prompts
- Pilot trials were conducted in Spain and Italy, gathering user feedback on usability, accuracy, and overall experience
Results and value of Logmeal in the program
- Improved user engagement through intuitive photo-based meal logging
- Accurate dietary monitoring, enhancing the quality and relevance of coaching suggestions
- Positive user feedback on the simplicity and instant value of the system
- Supported healthy behaviors with less friction and higher data reliability
LogMeal Technology Value in the Program
- AI-powered meal detection with ingredient-level analysis
- Real-time feedback on nutrition for end-users
- Fully automated food diaries, reducing cognitive burden for elderly participants
- Seamless integration with mobile health platforms
- Scalable solution applicable to other aging, wellness, or chronic care coaching systems
By integrating LogMeal’s AI food recognition, the NESTORE project succeeded in enhancing its personalized coaching capabilities for nutrition. This technology enabled accurate and low-effort food logging, contributing to better health outcomes and increased digital engagement among older adults.
partners and collaborators
HEALTH & NUTRITION REFERRALS
Giuseppe Andreoni
Professore Associato Politecnico di Milano
Doctor of Philosophy – PhD, Bioingegneria e ingegneria biomedica
More info
“NESTORE is a virtual coach supported by an ICT-based system that operates into both physical and virtual domains. It relies on several technologies with different maturity levels gathering wearable, voice based technologies, environmental sensors, emotional monitoring systems, serious games, coaching system and more to be “the coach through which you will keep fit and healthy“.
