Title:

LogSmarter™ ADAPT: Automating Data After Physical Transcription

LogSmarter™ (LS) is a cross-platform nutrition-tracking application that uses machine learning to provide tailored nutrition coaching for individuals trying to reach and sustain their health goals using a proprietary machine learning algorithm to generate a caloric intake that helps users meet their muscle gain or fat loss goals. The LS team has received user feedback expressing that the current system of manually inputting data is a tedious task. The aim of this project is to improve the user experience for LS users by reducing the time and effort it takes for users to enter data and receive feedback. To achieve this goal, we have implemented an automated emailing system that allows users to receive their feedback without opening the app. In addition, we allow users to sync their data from other apps like Apple Health and Google Fit to remove the need to manually input data in the LS application. With these new features, we’ve reduced the number of clicks it takes for LS users to enter data and receive feedback from six clicks to only two, leading to an easier, hassle-free user experience.

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