After many hours spent toiling over excel sheets in an attempt to track my finances in excel, and as many hours ignoring my own better judgement in how to improve my financial situation, I decided there must be a better way.
What it does
Bucket-Sieve is designed to be compatible with API's that pull bank transnational data, use that data to form clear and useful data visualizations, and give the user meaningful recommendations as to how to improve their budget.
How we built it
We built it be using a series of data visualization tools, and design and implementing a novel recommendation system that relies heavily on the economic theories surrounding replacement theory.
Challenges we ran into
We ran into difficulties implementing API to pull bank transaction data, as the API's in place were relatively difficult to implement and, as far as we could tell, contained bugs that prevented us from implementing them. We also ran into some difficulties with the data visualization as few members of our team have experience in that field.
Accomplishments that we're proud of
We managed to create a system that provide meaningful suggestions, and visualizations that convey that meaning to the user.
What we learned
Multiple member gained expertise in MySQL and Client Side programming. We gain experience in rapid prototyping and dealing with the inevitable turmoil of a 24 hour development cycle.
What's next for Bucket-Sieve
We want to make a dynamic system that full implement API's to get banking transaction data, and expand our recommendations to cover more fields and more knowledge to further improve our ability to guide our users to their best possible financial future.