Inspiration

Our entire group is comprised of first year computer science majors and we wanted to test our knowledge base.

What it does

The Python API determines the total cost for each of the runs for individual drill bits and totals the entire drilling operation. The Java API runs cost efficiency analysis for each individual drill bits for each mining operation.

How we built it

We used Replit to work on both source codes to streamline collaboration. Replit allowed us to see any revisions made in real time. For the Python API we also used Pandas to read the .csv files to obtain and manipulate the data form the data set.

Challenges we ran into

This was our team's FIRST hackathon. So, needless to say, we were kind of loss at the beginning of the hackathon. In addition, each member of the group only had a relatively strong grasp of the principles of Java. For the python portion of the code, we had to spend some time getting a basic overview of how Python and Pandas works to manipulate the data into a data frame.

Accomplishments that we're proud of

Honestly, getting the both the Java and Python API's to work in the early hours of the morning. It was a lot of collaboration and discussion of how to get the source code to work.

What we learned

The fundamentals behind creating a data science model. Had a better grasp of the Java language and how to traverse files, how to manipulate data in java and python. Learned ALOT of python. And overall, had a small taste of how what we learned in school can be applied to a real world scenario.

What's next for Drills and Bits.

Expanding our knowledge base of different programming languages and applying the skills we learned this weekend in our personal lives.

Built With

Share this project:

Updates