Onboarding+BanorPet

Clustering de usuarios a partir de una base de datos en FireBase para categorizar los usuarios

Inspiration

We were inspired by our own bank experiences in boring bank applications that just function as a service, and decided to implement one of our favorite engagement experiences. Based on daily interaction apps as Duoligo and Pou.

What it does

The app promotes user engagement by including a gamified savings account that incites the user to involve themselves dialy in their finances, as well to understand the value of investment. It offers a quick and efective registration process to personalize the most accurate benefits for each user.

How we built it

We built it through Flutterflow, connecting our user data to Firebase cloud services Firestone. We planned to help segment the users through a mean neighbor clusterring algorithm in Matlab.

Accomplishments that we're proud of

We were proud to succesfully incorporate the Firebase Cloud Services in our application to record customer data. The conditions of widget visibiility in our user interface involving parameters took us a long time to perfectionate.

What we learned

We learned that we work better as a team when we delegate responsabilities according to our strenghts, as well that we need to improvise many of our plans.

What's next for Onboarding+BanorPet

We want to succesfully incorporate the clustering algorithm to recommend cards and benefits according to the user data.

Challenges

We had issues with one of our laptops, because it was not receiving internet, because of this we were in a rotation of just 3 devices mostly and that kind of slowed down our progress. We also encountered a big issue with the implementation fo the conditionals because it was not aplying to the preview of the app, so it was just until the debugging phase that we notice that we were actually doing it correctly. Another factor was that the system that we were using (Flutter Flow) did not allow us to work in collaboration on the same project, for this reason we did our pages separatetly and we had to copy from each other (once we did the pages public) to do the complete program, something that also brough some issues in terms of variables and adjust, but we overcome them really fast.