Inspiration
Personalized products are the key factor of success in the customer engagement and inclusive recommendation and personal detail oriented tutorial are the lack of the market.
What it does
It does the personalized tutorial and engagement that created from similar users tutorials and videos like same bone type or some face-shape.
How we built it
We built with deep learning and image processing at first; then we collect and analyze the user data based on the user's preferences and create recommendation and tutorial outcome for the logged users to platform with a mobile application.
Challenges we ran into
User's data is the key challenge but the influencer videos are the key data source to process their makeup techniques and recommend their face type into similar users.
Accomplishments that we're proud of
For every diversity and race and color; we can generate and re-generate the user tutorial based on the preferences and recommendations.
What we learned
We learned the shape of the customer preferences and their inclusiveness with the detail of the user's products that they selected and their expectations with the similar users.
What's next for Makeuply-Friendly
Customer engagement and loyalty with the mobile application and gamified product recommendations are the key factor for financial success.
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