Tamu Datathon- Poopy Butthead

There are 8 billion souls on this planet, not nearly as many hobbies to go around with it ( we think). But the success of humanity is not dictated by the individual benchmark of skill, but instead the ability of a collective to complete an effort together. That's why we built this project with Google Gemini to help us understand and group similarities in individuals given a certain theme or setting! We learned how to filter data for a specific trait of our population, as well as utilizing Gemini to better understand similar groups of people to raise our chances of success. For this scenario, we required individuals of the highest IQ, so using Pandas we sorted that data and filtered it for a threshold. However, the difficulty came in when we were to search for "combat backgrounds". Our solution was thus to use Gemini to parse through our newly filtered CSVs and select individuals whose experience best aligned with "combat experience". Although the model was slightly inefficient at first due to lack of back testing, the model slowly became better as it better understood what kinds of characters we were looking for.

Built With

• gemini
• numpy
• pandas
• python
• sympy