Mr. Latte

Chuze

A service that predicts and recommends clothes that fit well based on your physical information before purchasing. The service recommends optimal sizes for small and medium-sized brands based on well-fitting large-sized clothes.

Key Development

• Designed and implemented clothing size recommendation algorithm
• Developed user body information input and management system
• Built brand-specific size database
• Developed size matching logic for small/medium brands based on large brand standards
• Implemented responsive web interface
• Built recommendation accuracy improvement system based on user feedback

Tech Stack

• Framework: Vue.js
• Frontend: HTML5, CSS, JavaScript
• Algorithm: Clothing size recommendation, body data analysis
• Features: Size prediction, brand-specific recommendations, user profile management