Inspiration
The novel Snow Crash inspired the thermal sensor idea implement into our AI machine. AP biology class inspired the issue of keystone species in ecosystems. A single animal in a food chain can greatly affect the condition of the environment. We wanted to create a program that was extensive and used all the knowledge we learned in the hackathon. We used hardware provided by the MLH team to program Arduino to collect temperature data. We used the data visualization techniques by Eric Song to graph the data we collected into graph to create a visual representation of the temperature changes. We tried creating a Machine Learning aspect and we partially succeeded. We used the starter kit as a baseline and imported data on otters and sharks to have the computer differentiate between the two animals so that we can track them using our sensors. Additional data would've helped us identify between both animals better. We also wanted to create a user component to the program. We wanted to use machine learning to create a game that the general public could use to support the otters. We used a Crypto component as positive reinforcement to get more people to play the game to sharpen the AI's otter and shark identification skills.
What it does
Our code provides various solutions to various issues.
How we built it
We built our code using various programming software like google collaboratory and arduino.
Challenges we ran into
We ran into technical challenges since our experience is limited.
Accomplishments that we're proud of
We're proud of our final outcome and were able to come to an agreement.
What we learned
We learning how machine learning works and how to use hardware and how to make data visualization graphs.
What's next for Save the Otters
More hackathons!!!
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