Inspiration
Many people including those with neurogenerative disorders like OCD, ADHD, and PTSD, struggle with decision-making when it comes to beauty and makeup products. The overwhelming number of options, combined with the pressure to choose the right product, can be paralyzing. We wanted to create an app that would use AI and image processing to suggest the exact product needed, reducing decision fatigue and making the process of selecting and purchasing products easier and less overwhelming.
What it does
Beautify.ai uses AI and image processing to suggest the exact beauty and makeup products needed, based on a user's individual needs and preferences. The app provides step-by-step instructions on using the product, specifically insighting which area of the skin to apply, the quantity, and grooming tips. This feature is particularly helpful for individuals with neurogenerative disorders, who may need more guidance or structure when it comes to grooming and beauty routines.
How we built it
We built Beautify.ai using a combination of machine learning algorithms, image processing techniques, and user-centered design principles. We worked closely with individuals with neurogenerative disorders to ensure that the app would be accessible and easy to use for everyone.
Challenges we ran into
One of the biggest challenges we faced was Collecting the data set and scraping web data
Accomplishments that we're proud of
We're proud to have created an app that has the potential to make a real difference in the lives of individuals with neurogenerative disorders. We're also proud of the user-centered design process we used to create the app, which ensured that it would be accessible and easy to use for everyone.
What we learned
We learned a lot about the challenges that individuals with neurogenerative disorders face when it comes to decision-making and grooming routines
What's next for beautify.ai
at the moment we are using scraped data for product links but IN future we want to expand to a realtime scraping mechanism, also create a mobile app, version of it. Fine tune the models for more accuracy.

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