Inspiration

Asian Carp are an invasive species of fish that are known to eat essentially anything else that swims. This poses a threat to native species of fish and the ecosystems and economies that depend on them. Successfully preventing the Asian Carp from spreading involves predicting where and when they will spawn. The measures scientist are interested in compiling are the following

Number of days the stream water temperature is above a certain threshold The length of the stream The velocity of the stream

Our Mission: To facilitate research by providing efficient access to data in an comprehensive, user friendly interface.

Our Four Goals:

  1. Compile and maintain a database of past stream data that would be relevant to predicting the spawning of Asian carp.
  2. Use real time web communication to update that database each time the platform is used.
  3. Preform model calculations on the database to predict where Asian carp are likely to spawn
  4. Construct an user experience that is easy to use and yet allows a researcher full access to the data and metrics being used to create predictions

How we built it

AWS was used to create API to collect data and apply the Model provided in the problem statement

Challenges we ran into

Data from USGA is esoteric and difficult to collect

Accomplishments that we're proud of

Dispite a diverse skill set and experience levels that ranged fro into to computer science to 15 years in the industry, the dedication, talent, and teamwork was amazing.

After learning about the topic, collecting the data, and applying the model, we are proud of the platform we developed and believe that this product provides much needed access to data

What I learned

I had no idea there were so many ways to measure a stream. :-/

What's next for CarpeDiem

Get input from researchers on how this product can be improved and used. Create a user interface to further ease access. We are please with the success of this development and look forward to developing it further.

For more information about the platform and the data, see the PowerPoint slides

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