Offered By: IBMSkillsNetwork
AutoGen Wardrobe Wizard: A MultiAgent Fashion System
Learn how to combine Meta's Llama vision model, OpenAI’s DALL·E, and Microsoft’s AutoGen, a framework for orchestrating collaborative AI agents, to build an AI-powered virtual fashion stylist. This project uses modular agents such as a Color Analyst, Style Planner, Silhouette Analyst, and Outfit Board Creator to generate personalised outfit recommendations based on your uploaded photos. By the end, you’ll have a complete multi-agent system that blends computer vision, intelligent coordination, and creative design for real-world fashion use.
Continue readingGuided Project
Artificial Intelligence
At a Glance
Learn how to combine Meta's Llama vision model, OpenAI’s DALL·E, and Microsoft’s AutoGen, a framework for orchestrating collaborative AI agents, to build an AI-powered virtual fashion stylist. This project uses modular agents such as a Color Analyst, Style Planner, Silhouette Analyst, and Outfit Board Creator to generate personalised outfit recommendations based on your uploaded photos. By the end, you’ll have a complete multi-agent system that blends computer vision, intelligent coordination, and creative design for real-world fashion use.
The process begins with Meta's Llama vision model, which analyses your uploaded photo and extracts clothing items to build a digital wardrobe—laying the groundwork for personalised recommendations.
- Color Analyst picks colors that complement your skin tone
- Style Planner recommends outfit types based on your preferences and the occasion
- Silhouette Analyst suggests flattering cuts and designs
- Outfit Board Creator assembles everything into a cohesive final look
By the end of this project, you'll have created a smart fashion assistant that combines visual recognition, collaborative AI, and creative design. It's a fun, real-world example of how multi-agent systems can solve everyday problems—with intelligence and style.
A Look at the Project Ahead
- Understand AutoGen’s multi-agent architecture – Learn how to define and coordinate specialized agents to simulate real-world fashion consulting workflows.
- Build intelligent fashion agents – Create agents with defined roles such as color analysis, style planning, and style advising.
- Orchestrate collaborative outfit generation – Combine individual agent insights to produce a cohesive final outfit recommendation.
- Learn to build and run agent workflows with AutoGen – Use Python and AutoGen to define agents, manage communication, and control task execution.
- Generate visual outputs with DALL·E – Transform final outfit descriptions into AI-generated fashion boards using prompt-based image generation.
- Deliver personalized styling experiences – Generate tailored fashion suggestions based on user profile inputs like skin tone, occasion, and preferences.
What You'll Need
Estimated Effort
50 Minutes
Level
Intermediate
Skills You Will Learn
AI Agent, Artificial Intelligence, Autogen, Computer Vision, Generative AI, Python
Language
English
Course Code
GPXX0QCJEN