Skincare Ingredient Scout

AI-powered ingredient interaction & conflict detection

Analyze Your Ingredients

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Photo Detection

Coming soon

Key Features

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Why should we care about ingredient conflicts?

BBecause nowadays many people, eapeicially teenager use skincare products frquently. They use them everyday in order to improve the apparant of their face and protect their skin However the lack of knowledge in the hazarnd in mixing us e of skincare products will cause a opposite effect.Plus, almost all of them have no awareness about the hazard of mixing use of skincare products, which might cause demages on your face such as reddish and the the harm of teh sense of burning. We tend to creat this wbsite to remind people,eapecially teenager that whwther they kan use the skincare products together and the harzard in order to find the skincare product that fit them well and cause no dangers.

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How does our model detect the conflicts?

Our model represents cosmetic ingredients as nodes in a graph and their potential interactions as connections. Using a Graph Neural Network (GNN), it learns from known chemical, dermatological, and safety data to capture how ingredients influence each other. The model then predicts whether combinations of ingredients across multiple products may cause conflicts, reduced effectiveness, or safety risks.

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How to use our product?

To use our product, you only need to upload some photographs of the ingredient list of two or more skincare product, the click the "detect" button. Our system will use algorithms for analysis, and give back an three-level risk assessment within seconds: Green light indicats no significant conflict detected, yellow light suggests potential risk, which means you need to think twice before using, red light signals high-risk interactions, with explanation of the predicted chemical conflict mechanisms.