Project Description

When Tinder meets activity planning, you get InterActive, a user-friendly mobile app that lets you swipe right for your activities of interest and over time learns all about your preferences.

Leveraging Machine Learning for consumer behaviour, Universal Recommender (for a personalized recommendation) and suggestions taken from Google Maps API, the app gets end-users out and about to experience fun activities relevant to their liking.

Technical Description

  • The mobile app uses an API to get recommendations and send user choices
  • The main core uses Universal Recommender and Prediction IO to give new and improved recommendations
  • Possible suggestions are taken from Google Maps API

Project beneficiaries

lorem ipsum