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Fruit Detection App using deep learning.

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After searching a lot of datasets we found our perfect match i.e
https://www.kaggle.com/datasets/shashwatwork/fruitnet-indian-fruits-dataset-with-quality


We tried various deep-learning models for the dataset like the CNN model with different architectures, VGG 16.

Best model was the Vanilla CNN whose architecture can be seen below:
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We chose AWS for our deployment services as it was a very convenient and flexible option.

Deployment Architecture :

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Detailed Architecture:

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Demo images:

We tried giving the below banana image for prediction.

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Our prediction from the application :

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But it was not performing well for some images like the below rotten orange image: greenery pic
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It was a prediction of Pomegranate Bad for Orange Bad.

We have to try various Deep Learning models for getting our predictions accurate.

Thanks for reading!