SafeEat: Extraction of Information About the Presence of Food Allergens in Recipes

The application of artificial intelligence is becoming increasingly complex and sophisticated to shorten the gap between users and digital systems. IA techniques can bring a lot of advantage in facing the issue of allergic reaction related to food allergies. Recognising and avoiding the foods on which it is based is an effective way to avoid an allergic reaction. To identify possible allergens, it is important to read the food labels carefully or to know what are the ingredients from which it is made. In this paper we present a system that exploits the techniques and tools of Artificial Intelligence to extract and analyse the ingredients of a recipe, and alert the user to the presence of possible allergens. The performed experimentation shows that the system can alert the user of allergens in Wikipedia Cookbok dataset recipes.

[1]  Flora Amato,et al.  Automatic Personalization of Visiting Path Based on Users Behaviour , 2017, 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA).

[2]  Tom Nadarzynski,et al.  Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study , 2019, Digital health.

[3]  N. Fenton,et al.  Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies , 2020, 2020 IEEE Global Humanitarian Technology Conference (GHTC).

[4]  Francesco Moscato,et al.  Analysis of Consumers Perceptions of Food Safety Risk in Social Networks , 2019, AINA.

[5]  Giovanni Cozzolino,et al.  Using Semantic Tools to Represent Data Extracted from Mobile Devices , 2018, 2018 IEEE International Conference on Information Reuse and Integration (IRI).

[6]  Flora Amato,et al.  An Application of Semantic Techniques for Forensic Analysis , 2018, 2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA).

[7]  Flora Amato,et al.  Analyse digital forensic evidences through a semantic-based methodology and NLP techniques , 2019, Future Gener. Comput. Syst..

[8]  Wahidah Hashim,et al.  Natural language processing utilization in healthcare , 2019 .

[9]  Flora Amato,et al.  Data Mining in Social Network , 2018, IIMSS.

[10]  Alessandra Amato,et al.  Opinion Mining in Consumers Food Choice and Quality Perception , 2019, 3PGCIC.