Jul 18, 2024
No image
Completed
Computer Vision Solution for Cosmetic Retailer
$100,000+
4-6 months
United States
6-9
Service categories
Service Lines
Artificial Intelligence
Big Data
Domain focus
Retail and Restaurants
Subcategories
Artificial Intelligence
Machine Learning
Big Data
Data Science
Edge Computing
Video Analytics
Challenge
Our cosmetic retailer client asked to develop an AI solution to personalize beauty chats with clients. The company is one of the beauty market leaders, including products for all skin types, under-eye care, and decorative cosmetics.
Our cosmetic retailer client asked to develop an AI solution to personalize beauty chats with clients. The company is one of the beauty market leaders, including products for all skin types, under-eye care, and decorative cosmetics.
Solution
Business Problem
US-based beauty retailer needed an AI-powered app with face recognize solution and capabilities to personalize the user's skincare routine, offering a smarter and highly customized experience for anti-aging treatments. To further enhance customer experience, the client asked us to integrate a recommendation system powered by ChatGPT.
Solution
We developed a mobile application that uses Computer Vision and photo face recognition with ChatGPT features to offer personalized interactions with customers and generate content as tips and recommendations based on face features analysis.
Business Problem
US-based beauty retailer needed an AI-powered app with face recognize solution and capabilities to personalize the user's skincare routine, offering a smarter and highly customized experience for anti-aging treatments. To further enhance customer experience, the client asked us to integrate a recommendation system powered by ChatGPT.
Solution
We developed a mobile application that uses Computer Vision and photo face recognition with ChatGPT features to offer personalized interactions with customers and generate content as tips and recommendations based on face features analysis.
Results
How It Works
The algorithm is as follows: a user takes a selfie and app, using detectors based on histograms of oriented gradients from the Dlib library, and the program accurately identifies the user's face in the photo.
Using the same approach, we trained a system to detect 126 feature points on the user's face. It helps to analyze these unique facial features and create a user profile.
Our app's AI technologies play a vast role in selecting the most suitable skincare products. They do this by conducting a comprehensive and intelligent analysis of the user's facial features. The app provides personalized skincare and beauty recommendations by integrating the ChatGPT API.
How It Works
The algorithm is as follows: a user takes a selfie and app, using detectors based on histograms of oriented gradients from the Dlib library, and the program accurately identifies the user's face in the photo.
Using the same approach, we trained a system to detect 126 feature points on the user's face. It helps to analyze these unique facial features and create a user profile.
Our app's AI technologies play a vast role in selecting the most suitable skincare products. They do this by conducting a comprehensive and intelligent analysis of the user's facial features. The app provides personalized skincare and beauty recommendations by integrating the ChatGPT API.