Coin Image Classification What did you make? We made a coin image classification machine learning model.

How did you make it? We made this by applying different SkLearn models to our custom data set of 4 different coins and comparing their performances.

What is special about your project? The applications of a coin classification system span from a children's education tool for learning their coins to an aid to visually impaired people in counting their currency. We believe this model's ability to improve such a wide range of lives makes it powerful and impactful.

What is something you learned in the creation of your project? Both of us are new to machine learning, so every step was new. Coming in with minimal experience and leaving with a functioning ML model (best performing at 92%), we have learned how to efficiently create powerful ML models.

Anything you would like us to consider? Along with learning ML, we also took this opportunity to learn Jupyter Notebooks, which has helped to create a great way of presenting such a technical and otherwise relatively non-visual creation. Being able to visually represent the progression of developing our ML model helps to demonstrate the internals and even shed light on possible areas of improvement (aka future work).