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Watch Image Classification - Machine Learning 

The objective of this project is to assist customers of Swiss luxury watchmaking brands in selecting their desired timepiece. Our approach involves creating a user-friendly interface that offers watch recommendations based on user-inputted images. We utilise two classification image algorithms, namely Convolutional Neural Networks (CNN) and K-nearest Neighbors (KNN), to generate these recommendations.

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