Inspiration

Cooperating efforts to reduce health premiums alongside promoting environmentally friendlier alternatives.

What it does

Tracks people's travel habits (ex. walk, bike, motor vehicle) through GPS to gauge mode of transportation and frequency of fast food consumption, both of which negatively impact both environmental and personal health. Fast food consumption is tracked through a voluntary partnership with credit card companies and transport is measured through another voluntary mobile application.

How we built it

Splitting the project into two parts, we worked on the credit card analysis and GPS tracking simultaneously. The mobile application used React-Native (a cross-platform JavaScript based mobile framework) with libraries while the credit card analysis used Python with Pandas to isolate the credit card statements that contained the names of major fast food companies. While two of us were working on these pieces, another took the GPS data, calculated the speed and created a distribution of modes of transportation. Finally, the last of us was working on the backend server to connect the python scripts to a html backend, which displays the data in various graphical forms.

Challenges we ran into

The largest challenge we faced was integrating the various pieces into a single functional pipeline.

Accomplishments that we're proud of

This was the first time any of us had built a mobile application using GPS services and was the first time two of our members had done significant Python work.

What we learned

The difficulties in assembling a semi-functional prototype given limited time. The idea itself was difficult to come across.

What's next for Salvus

Better GPS services (slow at the moment). Getting credit card data straight from the credit card companies.

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