Domain

DesignForge AI

DesignForge turns uploaded UI designs into structured feedback across three analysis modes: 1. **Visual Design** — color, typography, layout, hierarchy, and branding 2. **User Experience** — flows, usability, accessibility, and interaction patterns 3. **Market Analysis** — trends, positioning, and competitor insights via web search Upload your designs, select focus areas, and run one or more analysis types in a single pass.

Python Streamlit

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DesignForge AI

Multimodal design analysis team by Sharad Khare.

DesignForge AI is a three-agent Streamlit app that analyzes UI screenshots with Gemini vision, UX critique, and market research — optionally comparing against competitor designs.

Built and maintained by Sharad Khare — AI strategist, full-stack developer, and creator of practical agent workflows.

What this project does

DesignForge turns uploaded UI designs into structured feedback across three analysis modes:

1. Visual Design — color, typography, layout, hierarchy, and branding

2. User Experience — flows, usability, accessibility, and interaction patterns

3. Market Analysis — trends, positioning, and competitor insights via web search

Upload your designs, select focus areas, and run one or more analysis types in a single pass.

Why Sharad Khare built DesignForge AI

Design reviews span visual craft, usability, and market fit — rarely handled well by a single prompt. DesignForge demonstrates how specialized Agno agents with Gemini vision and DuckDuckGo research produce richer, more actionable design intelligence than a one-shot LLM call.

How it works

UI Screenshots + Optional Competitor Images
   │
   ▼
Vision Agent → Visual Design Analysis
   │
   ▼
UX Agent → User Experience Analysis
   │
   ▼
Market Agent → Market & Competitor Analysis
   │
   ▼
Streamlit results with markdown sections

Agent roles

| Agent | Focus | Output |

|-------|-------|--------|

| Vision | Visual hierarchy, color, typography | Visual Design Analysis |

| UX | Flows, usability, accessibility | UX Analysis |

| Market | Trends, competitors, positioning | Market Analysis |

Features

Three-agent Agno team with Gemini multimodal vision
Upload multiple UI designs plus optional competitor screenshots
Configurable analysis types and focus areas
DuckDuckGo-powered market research agent
Modular package layout for extension

Quick start

cd designforge-ai
pip install -r requirements.txt
streamlit run app.py

Required API key

Gemini API key — enter in the sidebar when running the app

Example inputs

Designs: Mobile app onboarding screens (PNG)
Competitors: Two rival app screenshots
Analysis: Visual Design + User Experience
Focus: Color Scheme, Navigation, Accessibility
Context: Fintech app targeting first-time investors

Project structure

designforge-ai/
├── app.py
├── designforge/
│   ├── config.py
│   ├── agents.py
│   └── analysis.py
├── requirements.txt
├── pyproject.toml
└── README.md

Topics

Sharad KhareDesignForge AIUI UX analysis AIGemini vision design reviewmultimodal design agent teamcompetitor design analysisStreamlit design toolAI market research for productsvisual hierarchy analysisaccessibility UX audit.

Who this is for

Product designers reviewing UI iterations quickly
Founders validating landing page designs before launch
UX researchers comparing competitor screenshots
Developers building multimodal agent workflows

Use cases

Audit color, typography, and layout consistency
Identify usability and accessibility gaps
Compare your UI against competitor designs
Generate market positioning insights for new products

Author

Website: sharadkhare.in

License

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bash

cd designforge-ai
pip install -r requirements.txt
streamlit run app.py