Inspiration
Our initial inspiration was derived from an idea coined during the Spark 010 class, Inclusive Innovation. From it's initial conception, the idea evolved to track data from rivers using a NASA satellite API, something we always wanted to do. From our experiences, we decided to take the AG Tech path to pursue this idea.
What it does
Our program allows the user to input a position in latitude and longitude, two different dates, and the scale and returns a display of those two images and an AI powered analysis that describes possible environmental changes and other possible factors.
How we built it
We used Python, Flask, the NASA Earth satellite API, and OpenAI to build this project.
Challenges we ran into
For this project, we struggled a bit with the front end, as all of our members have extremely limited experience with frontend development. We were eventually able to circumvent our lack or experience by creating unorthodox, yet effective solutions, and by taking advantage of the well documented reference documents for the APIs and frameworks we were using. We also had to create a new GitHub repository during the process. So we'd like to clarify that our final submission is in the "Hack-Merced-Project" repository.
Accomplishments that we're proud of
We are very proud of our back end and our API integrations, as these turned out very well.
What we learned
We learned a lot about frontend with server integration, as well as expanded our horizons into new frameworks
What's next for
We hope to eventually replace the NASA Earth satellite API with real-time time-kinetic GPS, which will be able to do real time tracking and get data from a centimeter difference at higher resolution and better cloud penetration.
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