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Inputs
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Spending predictions
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Graphs over 2 months
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Graphs over 4 months
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Graph over 1 month
Inspiration
Stress spending, more commonly known as retail therapy, is a new age epidemic. We aimed to use the power of AI to empower companies and consumers with data to inform decisions better.
What it does
Using an Advance __ model we analyze the user's calendar and spending history to gain insights into future spending.
How we built it
Using Python packages such as Keras and TensorFlow, we developed and trained a model to read and interpret calendar events and use the associated dates to learn spending habits based on previous spending history.
Accomplishments that we're proud of
We have a functional website that can take in user files, train the model, and make predictions that are displayed on the webpage.
What we learned
Learned a lot about how to use Flask, create and train models, different methods of data processing and
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