Inspiration
We saw the challenge EOG Resources presented and wanted to solve it. This challenge leaves many design choices up to the hackers. We liked that we could include hardware and software in this project.
What it does
We created an automated dashboard that utilizes machine learning to produce alerts to let the user know the issues, if any, occurring within the oil field. Having a live demonstration of it using hardware to showcase how the dashboard would work.
How we built it
We utilized a lot of AI models such as Gemini, Claude, Copilot+Grok, etc in order to code the frontend, backend, and implement the Spacetime database within the infrastructure. For the hardware we used an arduino microcontroller, jumper wires and an ultrasonic sensor to gauge water level
Challenges we ran into
The main challenge we ran into is getting the hardware to communicate with the software. The frontend relies on the backend code that communicates with the hardware in order to give the necessary data allowed for the frontend to make/update the alerts. We wanted the hardware to work to get a good idea of how it would look in actual oil field site. Doing this alongside completing, what was asked within each challenge statement made fatigue a constant problem as well.
Accomplishments that we're proud of
We are proud of making the github page and utilizing it with multiple branches to test out ideas while also completing different parts of the project. Utilizing AI to make the frontend work the backend while also having code within it to utilize the Spacetime database. Having hardware that at least tries to communicate with the software but on its own creates a great visual demonstration of the product we were shooting for. Doing all of this in 24 hours while still having time to have fun.
What we learned
We learned the importance of teamwork and communication. Our team moved pretty fast and the only real hiccup is when we would run into errors or problems with websites. We were comfortable with doing things within our domains and sharing it with our teammates. We were also comfortable asking questions and trying things that wasn't in our area of expertise. Making sure to manage both the project and our sanity were both crucial in shipping within 24 hours.
What's next for Ghidorah
We plan increase our skills, attend more hackathons, and fully realize a development pipeline that utilizes AI without the hallucinations
