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Simple Rule-Based Chatbot

Overview

This project is a Simple Rule-Based Chatbot developed using Python. The chatbot uses pattern matching and predefined rules to respond to user queries. It supports greetings, help requests, small talk, and answers domain-specific questions from a knowledge base. The chatbot also logs conversation history for future reference.

Features

  • Greeting Intent Recognition
  • Help Intent Support
  • Small Talk Responses
  • Knowledge Base Question Answering
  • Interactive Console-Based Chat
  • Conversation History Logging
  • Simple and Easy-to-Understand Python Implementation

Technologies Used

  • Python 3.x
  • JSON
  • File Handling
  • Pattern Matching
  • VS Code

Project Structure

SimpleRuleBasedChatbot/
│
├── chatbot.py
├── knowledge_base.json
├── README.md
├── .gitignore
└── chat_history.txt

Knowledge Base

The chatbot retrieves answers from a JSON-based knowledge base.

Example:

{
    "python": "Python is a high-level programming language.",
    "ai": "Artificial Intelligence enables machines to simulate human intelligence.",
    "machine learning": "Machine Learning is a subset of AI that learns from data.",
    "chatbot": "A chatbot is a software application that simulates conversation."
}

How to Run

Step 1: Clone the Repository

git clone https://github.com/your-username/simple-rule-based-chatbot.git

Step 2: Navigate to the Project Directory

cd simple-rule-based-chatbot

Step 3: Run the Chatbot

python chatbot.py

Sample Interaction

=== Rule Based Chatbot ===
Type 'bye' to exit.

You: hello
Bot: Hi there!

You: what is python
Bot: Python is a high-level programming language.

You: how are you
Bot: I'm doing well. Thanks for asking!

You: bye
Bot: Goodbye!

Conversation Logging

All conversations are automatically stored in the chat_history.txt file with timestamps.

Example:

2026-06-14 10:15:21 | User: hello | Bot: Hi there!
2026-06-14 10:15:35 | User: what is python | Bot: Python is a high-level programming language.

Future Enhancements

  • GUI Interface using Tkinter
  • Database Integration
  • NLP-Based Intent Recognition
  • Voice-Based Interaction
  • Web-Based Chatbot Deployment

Learning Outcomes

Through this project, the following concepts were explored:

  • Rule-Based Conversational Systems
  • Pattern Matching Techniques
  • Python File Handling
  • JSON Data Management
  • Interactive Console Applications
  • Conversation Logging

Author

Konni Divya

Internship Project – Simple Rule-Based Chatbot

License

This project is created for educational and internship learning purposes.