How many hours of human potential are wasted by standing in front of a refrigerator, trying to figure out what kind of ingredients can pair together to create a meal? For folks who travel, the end of a day at work is often brought to a crashing halt as you stare sadly into your hotel’s minibar, trying to figure out a nightcap from the odd assortment of tiny bottles on the shelf. What if there was a mobile app that could intelligently scan the bottles and use machine learning with a custom trained model to suggest for you the World’s Greatest Minibar Cocktail? What if that app was written using NativeScript-Vue, and the training was done using TensorFlow? In this talk, we’ll learn how to create a native mobile app using Vue.js, and how to integrate TensorFlow custom models, allowing your mobile app to train data on device. Join me as we walk through the creation of MixoLogy, sampling an original creation concocted for you via machine learning, based on a scan of a minibar. One more of life’s little problems, solved through technology. Jen Looper is a Google Developer Expert and a Cloud Developer Advocate Lead at Microsoft with over 15 years' experience as a web and mobile developer, specializing in creating cross-platform mobile apps. She's a multilingual multiculturalist with a passion for hardware hacking, mobile apps, Vue.js, machine learning and discovering new things every day. She is the founder and CEO of Vue Vixens, an initiative promoting diversity in the Vue.js community. Visit her online at http://www.jenlooper.com, or via Twitter @jenlooper.