Inspiration: We were inspired by Vanguard's presentation. They asked the question, how can we convince college-aged students to save more money. We saw this as an opportunity to see how we could convince more people to invest more.
What it does: The form collects information on client demographics and their life goals (what they would like to spend on). This information is used to determine what investments would be most beneficial for the client in order to achieve their goals. The API takes data on deposits and account balance and uses it to predict how much a client would earn if they were to make the investments. The quality of the investments is determined by historical financial data. This data is collected over a period of 30 days as a trial period. Once the client sees the benefits of the product, they may transfer over to using it regularly, as they would direct deposit. A percentage of their paycheck is instead allocated to direct investing.
How we built it: We used Spyder IDE in python and html.
Challenges we ran into: We were not familiar with how to integrate python with html. We were not sure how to use the API at first, but learned by doing.
Accomplishments that we're proud of: We were able to take advantage of Capital One's API (simulating a weekly paycheck).
What we learned: We learned how to use APIs within python.
What's next for Investment Wizard: We need to be able to make suggestions for quality investments based on responses received from the form. We also need to integrate a machine learning package from python in order to improve how investments are picked over time. We will need to fully integrate the python backend code with the front end html code.
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