Empowering farmers with NASA's geospatial datasets and analytics to make informed decisions about water usage, predict crop yields, and mitigate environmental risks.
The Large Language Model part of our application uses Large Language Models to perform advanced analysis of specific user set data. Under the hood we are using the Google Gemini API. Because we use LLMs to perform the analysis, we are able to provide our findings in automatically generated human understandable text.
We are a team from Solon, Ohio (near Cleveland). Our team is comprised of two members, William Stella and Deniz Buldum. We are sophmores in high school. Our interests include Computer Science, Math, STEM, Machine Learning, AI, and much more!
Read About Our Team