FoodMarketMap
Mastering and Recognising Key Elements of Food Choices to Monitor and Personalise Your Diet
Overview
The Challenge
FoodMarketMap addresses the complex issue of making healthy food choices in today’s market. Many food stores are filled with convenience foods that are often unhealthy. Additionally, misleading information frequently steers consumers towards poor dietary choices. Budget constraints further complicate the decision-making process for many consumers. Moreover, an increasing number of consumers are environmentally conscious and seek to purchase eco-friendly food products. Balancing all these factors requires support, and this is where our solution comes in.
Users/Testers
30
The solution
FoodMarketMap developed a mobile app that recommends healthy food options based on consumers’ previous purchases. This app, named Eatvisor, provides personalised recommendations that consider nutritional value, budget, and environmental impact, guiding users towards better food choices and contributing to their overall well-being and sustainability goals.
The solution builds upon previous work while incorporating new developments. Before the project began, the app’s design was completed, and the Slovenian food composition database (FCDB) was compiled. The new developments focus on supplementary components, including: extracting food product names from shopping receipt images using Optical Character Recognition (OCR), matching extracted items with the FCDB, detecting food logos on packaging through computer vision, and generating personalised recommendations via a recommender system. However, these new developments also relied on our previous research conducted at JSI and FCSE.
Users/Testers
30
Members
Slovenia
North Macedonia
Slovenia
Citizen Engagement
Adult citizens from Slovenia were involved in the design and testing of the solution.
DataU and FOODITY components
The FOODITY solution dataU — FOODITY’s GDPR-compliant consent management platform — was used for data sharing.
Results and achievements
Tangible Improvements
The mobile app Eatvisor has been developed and integrated with a few FOODITY and supplementary components
Output Produced
Three FOODITY and three supplementary components were implemented, and three datasets were generated — available on the FOODITY DataLake (“Explore our data”) and Zenodo.
Impact Indicators
- Number of active users: 30
- Repeat usage rates: 21 days
- User satisfaction scores: 7/10
Feedback from Users
In general, participants reported satisfaction with the Eatvisor app and showed interest in its further development.
Materials and links
Updates
ALIGNMENT WITH FOODITY
FoodMarketMap solution fully aligns with all the FOODITY goals.
LESSONS AND RECOMMENDATIONS
Lessons learned
Despite substantial advancements in AI, translating these developments into real-world applications continues to pose significant challenges.
Recommendations
Developing food-related mobile apps is challenging due to the rapidly evolving data and knowledge in the field, combined with consumers’ expectations for high-quality results with minimal effort.
Main benefit of participating in the FOODITY Programme
FoodMarketMap made progress in developing an AI-powered food mobile app.