FanFlow

Have you ever gone somewhere new and wanted to know the local food spots? Due to the influx of tourists for the World Cup we created a program centered around Levis Stadium for just that purpose.

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Inspiration

The inspiration for this project was supporting local businesses. Smaller countries depend on tourisim to help them and support them when tourisim is lower. This is exactly why we wanted to create this project. With the demand and influx of people entering Levi's stadium due to the World Cup we noticed that it would be the perfect opportunity to create a tool that allows tourists to find local gems. When traveling you always want to understand how the locals feel and where they go, this allows people outside of the Bay Area to experience just that.

What it does

Using Baynesian analalysis and some friedman tests for variability, we are able to pull a dense survey of local cuisines and shops within a roughly 11 mile radius. This then understands the reviews and locality, understanding if its a chain, a local bussiness, and its history within the area. The best locations arent always the ones you find easily on Google Maps and reviews. This is why we created this, to allow people to understand and find the local cuisines instead of hopign that some local would assist them.

How we built it

We built it using Claude, OpenAI, and supplemental research. We were able to use the google cloud to understand and find businesses in the local area, then use baynesian analysis and scanning of reviews to understand how people react and how they compare relative to their reviews. As something as Taco Bell may rank higher due to an influx of reviews, but comparatively with another chain, using baynesian and understanding of relativity and reviews, are able to understand which is better.

Challenges we ran into

Some challenges we ran into were hosting the software. As this is our first competiton and doing anything like this we had trouble figuring out how to host it and demonrate our capabilities. MongoDB also was a little tough to use due to the IP limiting, at one point locking us out for a while before resolving. We also had issues connecting the backend with the front end leading to lots of issues on hosting and overall availability of the project near the deadline as we joined quite late.

Accomplishments that we're proud of

We are proud of the research and thought put into this and how if at a larger scale could become a useful infrastructure and add-on for the search and general help of local businesses while keeping integrity as a whole.

What we learned

We learned a lot about the frontend and backend as things keep warming up. We also learned how to use our critical thinking and alternatives to demonstatre and assist these businesses help rank better while also keeping the integrity if a chain restaurant is clearly better.

What's next for FanFlow

The next steps would be further testing and implementation as if this is brought at a larger scale could assist in helping these businesses get more traffic and revenue, assisting them in not only keeping their business afloat but allowing tourists and other locals to understand the better food options around them that supports the community.

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