We are inspired by the current revolution in AI/ML technology and the lack of financial literacy in our local communities.

Our project is an AI/ML chatbot that answers questions and educates the user about basic financial knowledge and other topics including immigration.

We built our project completely with Python. Our front-end uses tkinter and our back-end uses nltk and tensorflow.

One of the challenges we came across was connecting our completed back-end to a good looking front-end. We ended up sacrificing good looks and completed our front-end on tkinter. Another challenge was making the Spanish compatibility. At the beginning the model might give a Spanish response to an English user, we resolved this by separating the training data by language and retraining the model.

Accomplishments that we're proud of include our Spanish compatibility. Also the wide range of resources that we support.

We learned how to mesh together a back-end application with a front-end UX all on Python. As well as how to train an AI/ML model with different sets of data.

The next steps for MoneyBuddy would be Creole compatibility, so we reach a lot more of your community members. Another step would be to implement the use of financial calculator tools and provide the user with tangible figures. Also an updated UX/UI on a webpage that can be easily accessed through mobile or desktop. And of course, more resources and deeper paths for the user to take to learn even more about their personal finances.

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