As developers, we often build tools that solve technical problems. This time, I wanted to build something more visual, practical, and fun.
So I created a Face Shape Detector — a web app that analyzes a user’s face shape and provides personalized hairstyle, sunglasses, and style recommendations.
What it does
The app allows users to upload an image, and it automatically detects their face shape, such as:
Oval
Round
Square
Heart
Diamond
Rectangle
After detection, it gives personalized suggestions like:
Best hairstyles for the detected face shape
Recommended sunglasses/frame styles
Style tips and blog recommendations
The goal was to make AI-powered style recommendations simple and accessible.
Tech Stack
I built this project using:
Next.js for the frontend and routing
React for UI components
AI / Face Detection Model for face analysis
Responsive UI for mobile and desktop users
Challenges I faced
One of the biggest challenges was making the detection accurate enough for real-world images.
Users upload photos with different:
lighting conditions
face angles
image quality
backgrounds
Handling these variations while maintaining performance was an interesting problem.
Another challenge was mapping face shapes to meaningful style recommendations instead of only showing raw AI output.
Why I built it
I wanted to combine:
AI
frontend development
user personalization
practical recommendations
into a single product experience.
Instead of just detecting a face shape, I wanted the app to actually help users make decisions.
Future improvements
Some ideas I’m planning next:
beard style recommendations
makeup suggestions
celebrity look-alike comparisons
better AI accuracy
saved style history
Would love feedback from the DEV community on both the technical and product side.
What features would you add next?
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