Intelligent Fashion Concept Evaluation System
A comprehensive AI-powered system for Zava clothing company to evaluate new fashion concept submissions through automated analysis and human-in-the-loop approval workflows.
The Zava Clothing Concept Analyzer is a production-ready demonstration of the Microsoft Agent Framework, showcasing how AI agents can collaborate to analyze complex business scenarios.
- Market Analysis: Fashion trend alignment and consumer demand assessment
- Design Evaluation: Aesthetic appeal, brand fit, and creative merit analysis
- Production Assessment: Manufacturing feasibility and cost considerations
- Human Approval: Zava team decision-making with comprehensive reporting
- Concept Upload: Upload PowerPoint pitch deck containing clothing concept
- Content Parsing: Extract text and design elements from slides
- Research Preparation: Analyze content for fashion-relevant information
- Concurrent Analysis: Run market, design, and production agents in parallel
- Report Compilation: Synthesize agent outputs into comprehensive analysis
- Human Approval: Present findings to Zava team for final decision
- Result Processing: Generate detailed reports or rejection emails
- Python 3.10 or higher
- UV package manager (recommended) or pip
- Azure AI Project with deployed model
- Azure CLI for authentication
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Configure environment
cp .env.example .env # Edit .env with your Azure AI Project details -
Authenticate with Azure
az login
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Install dependencies
uv sync
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Run the application
uv run python main.py
Use sample_data/bad_winter_pitch.pptx to test the system.
This demo is designed as a learning tool and reference implementation. For the main Agent Framework:
- This demo follows the Microsoft Agent Framework license terms. See the main repository for detailed license information.
- This is not intended to be used in production and is for demo purposes only.
Built with Microsoft Agent Framework in San Francisco 🌉