Inspiration

I've always wanted to make an image classifier and I thought this would be the perfect change to.

What it does

An image classifier that identifies if grapes have Black Rot, ESCA, Leaf Blight or a healthy.

How we built it

Using tensorflow and EfficientNet I trained the model on a dataset provided by Kaggle

Challenges we ran into

First time making an image classifer and 2nd time ever using ML, there was a signficiant learning curve, getting the model to recognize the data, and preprocessing the images.

Accomplishments that we're proud of

Honestly everything.

What we learned

Honestly everything.

What's next for GrapeGuard

trying it with not "fake" data but real world.

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