Problem

Our client, a jewelry retailer, was struggling to increase online sales due to the inability of customers to try on jewelry virtually. They wanted to create a virtual try-on app that would allow customers to see how different pieces of jewelry looked on them before making a purchase.

The challenge was creating an AI computer vision model that could recognize the user's face and overlay the jewelry like necklaces and earrings on the preferred region. The model had to be accurate and fast enough to provide a seamless experience for the customer.

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Solution

We created an AI computer vision model for our client's virtual try-on app that recognized the user's face and overlaid jewelry like necklaces and earrings on their preferred region. We used machine learning algorithms to train the model on thousands of images of people wearing different types of jewelry.

The model was integrated with our client's virtual try-on app, which allowed customers to upload a photo or use their device camera to take a picture. The AI computer vision model then analyzed the image and overlaid different pieces of jewelry onto the customer's photo in real-time.

Impact

Increased online sales by X%
Reduced product returns by X%

"This AI computer vision model has revolutionized our online shopping experience. It has increased our sales significantly while reducing product returns."

Team

Team Member #1 - Machine Learning Engineer
- Developed and trained the AI computer vision model using machine learning algorithms.
- Integrated the model with our client's virtual try-on app.
Team Member #2 - Front-end Developer
- Developed the user interface for our client's virtual try-on app.
- Integrated the AI computer vision model with the user interface.

AI Virtual Try-On App Boosts Jewelry Sales