Using AI to Find Bigfoot

Inspiration

Our team was inspired to create this project because of our shared fascination with the mystery and allure of Bigfoot. We were inspired by the stories and sightings of this elusive creature, and we wanted to use our skills and expertise in data science and programming to try and shed some light on its possible whereabouts. We were also driven by a sense of adventure and a desire to explore uncharted territory, both figuratively and literally. As we delved deeper into the data, we found ourselves getting more and more excited by the possibilities of what we might uncover. We believe that this project has the potential to not only deepen our understanding of Bigfoot, but also inspire others to explore the unknown and think outside the box.

What it does

Firstly, this project uses a series of scripts to reorganize a dataset into a valid format that could be used to train a machine learning model. The initial dataset had a column which held descriptions about the environment, which was not very useful by itself. To turn this data into a helpful variable, we used the Google cloud natural language processing API and entity classification to shrink the description into a few words that best describe the location. We then trained this data using random forest classification to generate an accurate model. This model then gives us the probability for each state that will be visited by Bigfoot. Our website then dynamically displays this information.