Multimodal AI Design Agent Team

🎓 FREE Step-by-Step Tutorial

👉 Click here to follow our complete step-by-step tutorial and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.

A Streamlit application that provides comprehensive design analysis using a team of specialized AI agents powered by Google's Gemini model.

This application leverages multiple specialized AI agents to provide comprehensive analysis of UI/UX designs of your product and your competitors, combining visual understanding, user experience evaluation, and market research insights.

Features

Specialized Design AI Agent Team
- 🎨 Visual Design Agent: Evaluates design elements, patterns, color schemes, typography, and visual hierarchy
- 🔄 UX Analysis Agent: Assesses user flows, interaction patterns, usability, and accessibility
- 📊 Market Analysis Agent: Provides market insights, competitor analysis, and positioning recommendations
Multiple Analysis Types: Choose from Visual Design, UX, and Market Analysis
Comparative Analysis: Upload competitor designs for comparative insights
Customizable Focus Areas: Select specific aspects for detailed analysis
Context-Aware: Provide additional context for more relevant insights
Real-time Processing: Get instant analysis with progress indicators
Structured Output: Receive well-organized, actionable insights

How to Run

Setup Environment

bash

# Clone the repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd advanced_ai_agents/multi_agent_apps/agent_teams/multimodal_design_agent_team

# Create and activate virtual environment (optional)
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

Get API Key
- Visit Google AI Studio
- Generate an API key
Run the Application
bash
```
streamlit run design_agent_team.py
```
Use the Application
- Enter your Gemini API key in the sidebar
- Upload design files (supported formats: JPG, JPEG, PNG)
- Select analysis types and focus areas
- Add context if needed
- Click "Run Analysis" to get insights

Technical Stack

Frontend: Streamlit
AI Model: Google Gemini 2.0
Image Processing: Pillow
Market Research: DuckDuckGo Search API
Framework: Phidata for agent orchestration

Tips for Best Results

Upload clear, high-resolution images
Include multiple views/screens for better context
Add competitor designs for comparative analysis
Provide specific context about your target audience

Multimodal AI Design Agent Team ​

🎓 FREE Step-by-Step Tutorial ​

Features ​

How to Run ​

Technical Stack ​