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An easy-to-use app for safe walking in uncomfortable situations. Allows for quick user-inputted emergency contacts that can be deployed through immediate clicking, on-demand inputs, and speech.
In this project, we use two different classification models to attempt to predict whether or not a loan application will get accepted based on demographic and loan-related variables.
Medical jargon like drug names can be intimidating, but it’s important for those who need to be treated to understand their uses. Our project uses openFDA API to show top uses for a highlighted drug.
