An application that recommends personalised skincare and makeup products based on the skin metrics inferred from user's selfie using computer vision algorithms.
-
Updated
May 2, 2024 - Jupyter Notebook
#
acne
Here are 6 public repositories matching this topic...
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.
machine-learning deep-learning cnn recommendation-system kmeans transfer-learning skin-tone content-based-filtering acne skin-type
-
Updated
Apr 29, 2024 - Jupyter Notebook
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.
-
Updated
Jun 12, 2024 - Jupyter Notebook
A efficient GAN framework for generating acne skin patches with limited data.
-
Updated
May 2, 2021 - Python
Neutrogena LED mask Arduino MOD
-
Updated
Sep 25, 2018 - C++
This application recommends personalised skincare and makeup products based on skin metrics inferred from a user's selfie, utilizing advanced Computer Vision algorithms. It employs image processing and CNN models to extract key skin attributes such as Skin Tone, Skin Type, and Acne Concern Level.
react opencv flask computer-vision tensorflow image-processing cnn recommendation-system acne skintone-color skincare-recommendation skintype
-
Updated
Dec 14, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the acne topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the acne topic, visit your repo's landing page and select "manage topics."