Dobermann

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Inspiration

As a team of college students, we personally understand the dilemma students our age face between financial accountability and the lack of time and knowledge to make financially responsible choices. Thus, our team wanted to create a simple app that would solve this dilemma: providing automated advice on the financial choices we make on a daily basis.

What it does

Dobermann will analyze all monetary decisions to advise for or against financial actions based on behavioral and financial data from the user. Our future for the mobile app is that it will use a logistic regression classification algorithm to analyze financial behaviors retrieved from Plaid and warn the user against financial decisions the algorithm classifies to be harmful.

How we built it

Due to our lack of experience with complex coding, we decided to focus on utilizing UI/UX rather than building the linear regression classification algorithm or the backend to retrieve data from Plaid, which are both necessary for our finalized commercial product. We used Figma to create a mobile app using its graphical user interface, rather than coding the app entirely.

Challenges we ran into

There were many times when the technology part had to be scrapped because what we wanted for Dobermann kept changing. For example, initially, we were thinking about analyzing the customer's financial behavior through machine learning. However, we received the feedback from a mentor that a classification algorithm would fit what we want more than machine learning. Thus, we had to redo what we had been working on regarding the analysis of the customer's financial behavior.

Accomplishments that we're proud of

The team was able to work around various time and location conflicts and finish this wonderful project with efficient collaboration.

What we learned

We learned the difficulty of working with teammates who we are not used to working with—especially under the pressure of a 48-hour time constraint. However, we were able to solve problems that arose through effective communication and conflict resolution.

What's next for Dobermann

The next thing for Dobermann would be creating the final version of the app with a linear regression classification algorithm and Plaid, following through with the marketing plan, and ultimately expanding to the state of Georgia from the city of Atlanta.