SAN FRANCISCO, May 19, 2016 /PRNewswire/ -- Project Infinome has released HungryBot for iPhone and Android, which uses advancedneural networks to recognize over 1,000 food types from photographs of meals. The app was created by biomedical scientists hoping to study chronic diseases like diabetes with better software.
Photo - http://photos.prnewswire.com/prnh/20160519/369935
In addition to the food tracking abilities, HungryBot also integrates with fitness trackers like the Fitbit, Jawbone, and Withings wrist bands, as well as wireless scales. HungryBot also includes a module to integrate with genomic data from 23andMe, allowing novel genetic research which will shed new light on how genetics and diet interact.
Features- Artificial Intelligence recognizes food from photographs- Integration with FatSecret for barcode scanning and nutrition lookup- Foursquare location checkins to track where you like to eat- Integration with wearable exercise trackers- Support for 23andMe genetics data import- Users of the app participate in Citizen Science through Project Infinome
Pricing and AvailabilityHungryBot is available in the Apple App Store and Google Play. It is free with no advertisements.
Additional InformationScreenshots and app information can be found athttps://www.infino.me/hungrybot
About InfinomeProject Infinome is a nonprofit founded 3 years ago by a pair of biomedical researchers. The goal of the project is to create a technology platform to integrate consumer health information from a variety of sources to study metabolic syndrome. The projects seeks to build a community of like-minded citizen scientists who otherwise would not have the ability to make a difference in biomedical research. The Infinome site and new mobile app allow visualizations of exercise, diet, and genetics data, and provide users links to millions of research articles in pubmed.
Project Infinome aims to put the power of precision medicine in the hands of everyone, for free.
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SOURCE Project Infinome
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