Inspiration
In high school, I remembered playing around with google trends to see how popular certain keywords were on the Google Search Engine during different months of a year. So we thought it'd be cool to use information on the popularity of the word "space" to predict the value of space stocks in the future [within the range of a year]
What it does
In our website, the user inputs the amount of days into the future, the user wants our AI to predict for space-related stocks. Then, based on how often the term "space" seems to be inputed into Google's search engine during a certain period of time, our program can predict, using machine learning, how space-related stocks will perform in the future up to that certain date. Then on the html website, we will see a graph containing the points for how space-related stocks did in the past, and how well we predict they will do in the future.
How we built it
We used html and CSS to build our website. Then we used machine learning in python, drawing on data of space stock values from yahoo finance and data on the popularity of the word "space" in Google Trends, to predict how well space stocks will do up until a certain point in the future that was given by the user (within the range of a year). Then we made a graph out of our results, and put that onto the website.
Challenges we ran into
It took some time to figure out how to take our results in python and put a graph onto our html page.
Accomplishments that we're proud of
When coming up for an idea for the project we were a bit nervous that this one would be too difficult and we wouldn't be able to finish in the allotted time, but in the end we decided to be bold! And we are very happy and proud of our results.
What we learned
We learned a lot about about html and CSS, and we learned how to use our python program to update a webpage.
What's next for HackRPI 2022 - The Rocketeers
School on Monday, and definitely more Hackathons in the future!
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