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Smart Coach App for Fashion Modeling

This web application, enhanced with AI integration, enables a smart coach to assess and score a model's runway performance, evaluating both their walk and posing technique.

Quick Summary

  • This web application, enhanced with AI integration, enables a smart coach to assess and score a model's runway performance, evaluating both their walk and posing technique.
  • An innovative tool that significantly enhances the training process for models
  • AI integration has reduced the time required to analyze runway sessions
Smart Coach App for Fashion Modeling

Overview

This application is designed to support and enhance the world of modeling. Its main purpose is to enable a smart coach to evaluate and score a model's performance on the runway and in their poses. The web application supports the connection of two cameras — one for front-facing analysis and one for side-view analysis. It captures and analyzes the model's movements and poses during their walk on the runway. After processing, the platform assigns performance scores across several categories.

Industries

Services Provided

  • Web Development
  • Custom Software Development
  • AI Development

Approach

For this project, the CodeBranch team handled interface and user experience design, developed the web application, and integrated it with AI modules capable of analyzing videos and providing personalized recommendations. The technologies used are React, Nest.js, Next.js, Python, and YOLO. The project involved a UX/UI designer, two full-stack senior developers, and a project manager. This is an ongoing project.

1x UX/UI Designer
2x Full-Stack Senior Developer
1x Project Manager

Results

  • An innovative tool that significantly enhances the training process for models
  • AI integration has reduced the time required to analyze runway sessions
  • Streamlined both learning and professional preparation for users

Frequently Asked Questions

How does the dual-camera setup improve the accuracy of performance scoring?
Using both a front-facing and a side-view camera allows the AI to analyze the model's movements and posture from two perspectives simultaneously, capturing nuances in walk technique and pose alignment that a single camera would miss. This results in more complete and accurate performance scoring.
What aspects of a model's performance does the app evaluate?
The platform analyzes and scores the model's runway walk and posing technique across multiple performance categories, providing objective feedback that coaches can use to guide training sessions more efficiently.
Which AI technologies are used to analyze the runway footage?
The application uses YOLO (You Only Look Once) for real-time object and pose detection within the video footage, combined with Python-based AI modules for analysis and the generation of personalized performance recommendations.
How does this app reduce the time coaches spend reviewing sessions?
By automating the analysis of runway video footage, the app eliminates the need for coaches to manually review and annotate sessions. Scores and recommendations are generated automatically after each session, allowing coaches to focus their time on coaching rather than reviewing footage.
Is this application suitable for both beginner and professional models?
Yes. The platform is designed to support models at all levels of experience, providing objective scoring and personalized recommendations that help beginners develop foundational skills and allow experienced professionals to refine and benchmark their technique.

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