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AI Search & Agent Systems Visualizer

An interactive Artificial Intelligence visualization platform implementing uninformed search algorithms, reflex agents, and the Eight Queens problem using Python and Streamlit.

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Features

• Breadth-First Search (BFS)
• Depth-First Search (DFS)
• Depth-Limited Search (DLS)
• Iterative Deepening DFS (IDDFS)
• Eight Queens problem visualization
• Reflex-based AQI agent
• Runtime and explored-state analysis
• Interactive Streamlit dashboard
• Algorithm comparison charts

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Dashboard Overview

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Search Visualization

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Algorithm Comparison

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Tech Stack

• Python
• Streamlit
• Matplotlib
• Pandas

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Project Structure

AI-Search-Agent-Visualizer/
├── aqi_agent/
├── docs/
├── eight_queens/
├── screenshots/
│   ├── dashboard-overview.png
│   ├── search-results.png
│   └── algorithm-comparison.png
├── search/
├── visualizer.py
├── README.md
├── requirements.txt
└── .gitignore

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How to Run

Clone repository:

git clone https://github.com/MARIO-SNH/AI-Search-Agent-Visualizer.git

Enter project folder:

cd AI-Search-Agent-Visualizer

Create virtual environment:

python -m venv venv

Activate virtual environment (Windows PowerShell):

.\venv\Scripts\Activate.ps1

Install