Inspiration
We were inspired by the lack of ingredient transparency in the beauty industry. Many users apply products without knowing what's inside them, and we wanted to make it easier to identify harmful components quickly.
What it does
The platform allows users to upload images of skincare and beauty products. It extracts the ingredient list and flags any harmful ingredients, giving users a clear and simple breakdown of what they’re putting on their skin.
How we built it
We built the frontend using HTML, CSS, and React JavaScript. The backend uses PHP with XAMPP for server-side functionality and phpMyAdmin for database management. We used OCR to extract text from uploaded images and compared ingredients against our database of flagged terms.
Challenges we ran into
We attempted to implement a facial scan feature for personalized product suggestions, but ran into technical issues. The biggest challenge was time, and we had to drop that feature to focus on making the core functionality stable and usable.
What we learned
We learned how to use PHP and phpMyAdmin for backend logic and data storage, how to work with OCR tools for text extraction, and how to connect all the parts into a working full-stack project.
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