Welcome to the Simple Chatbot (Text) page.
This page contains a brief description and implementation instructions for the project.
Project Description
A basic rule-based chatbot. The program takes user input (e.g. a greeting or question) and replies with a canned response. For example, if the user says “Hello”, the bot might reply “Hi there!”; if it recognizes “weather” in a sentence, it might respond about weather.
Project Requirements
Python 3.x (no libraries needed; optional re for pattern matching).
How to Run the Project
- Write a script (e.g.
chatbot.py) that loops, asking the user for input. - Run it:
python chatbot.py. Enter phrases; the bot responds according to simple rules or random choices. Type “exit” to stop.
Key Concepts Learned
- String Matching: Checking if key words are in the user’s input.
- Loops and Conditionals: Continuously conversing until an exit condition.
- Random Responses: Using
random.choicefor varied answers. - Basic AI Concepts: Even a rule-based response introduces idea of pattern matching.
Possible Extensions
- Use NLP libraries (like NLTK) for smarter replies.
- Implement statefulness (remember user’s name, etc.).
- Add learning from previous conversation (save user info).