Chat Metrics 📊

This project focuses on logging, analyzing, and visualizing chatbot interaction data to uncover usage patterns and automate insights like FAQ generation.

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🔧 Features

• Logs user queries and chatbot responses
• Analyzes question volume, frequency, and common topics
• Visualizes user interaction trends
• Enables auto-FAQ creation from recurring queries

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📁 Project Structure

chat-metrics/
├── data/              # Sample or processed chat logs
├── scripts/           # Python scripts for logging & analysis
├── visualizations/    # Plots and charts from analysis
└── README.md          # Project overview

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🚀 How It Works

1. User chat interactions are logged.
2. Scripts process and analyze these logs to extract:
   • Frequently asked questions
   • User engagement patterns
   • Keyword and topic trends
3. Visualizations are created using Python libraries to make the data easy to understand.

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📊 Example Use Case

A chatbot logs hundreds of user questions. This system processes those logs to detect high-volume questions and trending topics, and auto-generates FAQs for faster response building.

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🛠 Technologies Used

• Python
• Pandas
• Matplotlib / Seaborn
• Jupyter Notebooks
• Git & GitHub