Last semester’s design task of the Mobile (App) Prototyping and Evaluation (MPE) lecture at DECO was to create, prototype and evaluate innovative applications and solutions for improving the personal use of big data for individual users by utilising the theoretical concept of unlimited availability of big data, themed “Turning Big Data into Small Data”.
Three teams of two to four students completed the seminar, resulting in creative, useful and innovative applications. We proudly present the mobile application concepts of our participating student teams:
StableMatch – a location-sensitive social dating app for matching persons close to each other based on their personal preferences retrieved from various data sources like social networks
RunningGroceries – an educational app supporting users with the managing of their groceries and tracking of the corresponding expiration dates by giving insights and statistics regarding the behaviour (like wasting food) combined with big data
DejaVu – an app that aggregates a user’s personal data from various sources like social networks to highlight the best experiences and moments in a customisable timeline