An application that recommends personalised skincare and makeup products based on the skin metrics inferred from user's selfie using computer vision algorithms.
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Updated
May 2, 2024 - Jupyter Notebook
An application that recommends personalised skincare and makeup products based on the skin metrics inferred from user's selfie using computer vision algorithms.
Transforming skincare recommendations: our hybrid system combines KNN, CNN, and EfficientNet B0 for personalized advice. Published in IEEE, with 80% validation accuracy and 87.10% training accuracy.
This repository contains scripts and resources for training and deploying the acne detection model. It provides a straightforward method for users to utilize transfer learning techniques to build their own acne detection applications.
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