Rule-Based-AI-Chatbot

A simple Python chatbot that responds to predefined user inputs using rule-based logic and conditional statements.

This project demonstrates chatbot fundamentals without machine learning by using if-elif-else, loops, and basic input processing.

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Project Overview

The chatbot accepts user input, matches predefined commands, and returns responses based on rules.

It supports:

• Greetings and conversations
• AI and Python-related questions
• Fun interactions
• Date and time responses
• Simple calculations
• Exit commands

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Features

• Rule-based chatbot implementation
• Continuous conversation using loops
• Input normalization using lower()
• Multiple response categories
• Beginner-friendly structure
• No external libraries required

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Chatbot Workflow

Start
 ↓
Display Welcome Message
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Accept User Input
 ↓
Convert Input to Lowercase
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Match Rules (if-elif-else)
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Generate Response
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Continue / Exit

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Supported Commands

Category	Examples
Greetings	hi, hello, hey
Introduction	who are you, what is your name
Conversation	how are you, thank you
Learning	what is python, what is ai
Fun	joke, motivate me
Date & Time	current date, current time
Math	add, multiply, square
Mood	i am happy, i am sad
Exit	exit, quit, bye

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Tech Stack

Component	Technology
Language	Python
Built-in Module	datetime
Logic	if-elif-else
Execution	while loop

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Project Structure

Rule-Based-AI-Chatbot/
│
├── chatbot.py
├── README.md
└── requirements.txt

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Installation

Clone the repository:

git clone https://github.com/anmol396/Rule-Based-AI-Chatbot.git

Move into the folder:

cd Rule-Based-AI-Chatbot

Install dependencies (if required):

pip install -r requirements.txt

Run the chatbot:

python chatbot.py

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Example Interaction

Bot → Welcome! Type 'exit' anytime.

User → hi
Bot → Hello! Nice to meet you.

User → what is ai
Bot → AI stands for Artificial Intelligence.

User → bye
Bot → Goodbye! Have a nice day.

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Learning Outcomes

After completing this project:

• Build a console-based chatbot
• Work with conditions and loops
• Process user input
• Understand rule-based AI concepts
• Organize Python projects

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Future Improvements

• GUI using Tkinter
• Voice interaction
• NLP-based chatbot
• Web deployment

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Developed as part of Project 1 – Rule-Based AI Chatbot