🧠 Knowledge Graph Builder

An AI-powered app that turns any topic into a structured concept map using GPT-4 and LangGraph agents. It suggests classification strategies and lets you generate clear, organized roadmaps with one click.

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🚀 Features

• 📚 Dynamic classification detection using GPT-4
• 🌐 Multi-agent pipeline: Research → Synthesis → Mapping
• 🧭 Interactive concept map with one root node
• 📈 Clean SVG visualization with download support
• ⚙️ Built with LangGraph, Streamlit, Graphviz, and OpenAI APIs

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🗂️ Project Structure

roadMap/
├── app.py                 # Main Streamlit interface
├── .env                   # API keys
├── requirements.txt       # Dependencies
│
├── agents/                # AI agents (researcher, synthesizer, mapper)
├── data/                  # Output SVG graphs
├── tools/                 # Web data tools (Wikipedia, SerpAPI)
├── utils/                 # Utilities (export, classification helper)
├── workflows/             # LangGraph orchestration

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📦 Installation

1. Install dependencies

   pip install -r requirements.txt

2. Set API keys Create a .env file:

   OPENAI_API_KEY=your_openai_key
   SERPAPI_API_KEY=your_serpapi_key
   

3. Run the app

   streamlit run app.py

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💡 Example Topics

• Roadmap for Machine Learning
• Roadmap for Human Anatomy
• Roadmap for Vitamins

Each classification generates a focused map based on your selection (e.g., by paradigm, function, tools, symptoms...).

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🧠 Powered By

• LangGraph
• OpenAI GPT-4
• Streamlit
• Graphviz
• SerpAPI
• Wikipedia API

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📥 Output

SVG graphs are saved automatically to the data/outputs/ folder and are downloadable via the interface.

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Built for structured learning, curriculum design, and idea exploration.