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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May 2, 2024 - Jupyter Notebook
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acne
Here are 7 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
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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.
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Jun 12, 2024 - Jupyter Notebook
A efficient GAN framework for generating acne skin patches with limited data.
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May 2, 2021 - Python
Neutrogena LED mask Arduino MOD
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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
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Dec 14, 2024 - Jupyter Notebook
A hybrid recommendation system combining Item-Based Collaborative Filtering and Content-Based Filtering to suggest skincare products based on user preferences, product ingredients, and ratings. Features a Flask API and an interactive Streamlit Web App for personalized recommendations.
cnn collaborative-filtering yelp recommendation-system autoencoder user-collaborative-filtering item-collaborative-filtering skin-tone hybrid-recommender-system grouplens acne item-based-recommendation paper-recommendation skin-type
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Feb 10, 2025
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