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Master Thesis: FridgeCheck: Purchase Feedback App
We continue our work on BasketCheck and BetterChoice. Our apps aim to scan Swiss products and give nutritional feedback based on ingredient data. The app has 3 innovations: 1) evaluation purchase history long-term, 2) user-specific recommendations, 3) aggregating multiple product databases.
It is estimated that in the year 2030 our daily consumption surpasses 3’000 kcal per day. The consequences are dramatic: Obesity, diabetes type II and other overweight related illnesses take a significant toll on patients and the health care sector. Our project “FridgeCheck” will be a digital nutrition coach and aims to increase transparency between retailers, food producers and consumers: Consumers can scan products and track their purchases and the application will in return interpret the user's purchasing history from a nutritional expert perspective: Depending on the user's characteristics and diet, the app will return recommendations for a healthier nutrition: For example by suggesting alternative products just in between two visits to the store. We want to observe how the app can change consumer attitudes, intention & behaviour when it comes to healthier food choice.
It is estimated that in the year 2030 our daily consumption surpasses 3’000 kcal per day. The consequences are dramatic: Obesity, diabetes type II and other overweight related illnesses take a significant toll on patients and the health care sector. Our project “FridgeCheck” will be a digital nutrition coach and aims to increase transparency between retailers, food producers and consumers: Consumers can scan products and track their purchases and the application will in return interpret the user's purchasing history from a nutritional expert perspective: Depending on the user's characteristics and diet, the app will return recommendations for a healthier nutrition: For example by suggesting alternative products just in between two visits to the store. We want to observe how the app can change consumer attitudes, intention & behaviour when it comes to healthier food choice.
You build a mobile application in which users will become able to scan product items (ingredient data retrieved from existing databases Trustbox, Codecheck, our own DB) and their nutritional goal (e.g. lower salt intake). The app will then compile a quantitative assessment of the user´s dietary history and recommend substitutes with a relative high, positive impact to the user. Finally your app shall log any changes in the consumption patterns over time. The Swiss Society for Nutrition will support the development of the recommendation system. As this entirely digital intervention is a novelty in the retail sector, you have the chance to become a co-author of a scientific paper in a top conference or journal.
You are familiar with developing an iOS or Android mobile app (ideally Xamarin Framework), experienced with API frameworks, interested to build the “FitBit” for nutritional health, capable of reading scientific articles, motivated to participate on current research
You build a mobile application in which users will become able to scan product items (ingredient data retrieved from existing databases Trustbox, Codecheck, our own DB) and their nutritional goal (e.g. lower salt intake). The app will then compile a quantitative assessment of the user´s dietary history and recommend substitutes with a relative high, positive impact to the user. Finally your app shall log any changes in the consumption patterns over time. The Swiss Society for Nutrition will support the development of the recommendation system. As this entirely digital intervention is a novelty in the retail sector, you have the chance to become a co-author of a scientific paper in a top conference or journal.
You are familiar with developing an iOS or Android mobile app (ideally Xamarin Framework), experienced with API frameworks, interested to build the “FitBit” for nutritional health, capable of reading scientific articles, motivated to participate on current research
Klaus Fuchs
ETH Zürich, D-MTEC
Weinbergstrasse 56/58
8092 Zürich
Phone: +41 44 633 89 15
kfuchs@ethz.ch
www.autoidlabs.ch
www.im.ethz.ch
Klaus Fuchs ETH Zürich, D-MTEC Weinbergstrasse 56/58 8092 Zürich