This project implements a simple text-based chatbot capable of having basic conversations with users. The chatbot uses the nltk library and utilizes pre-defined patterns to match user inputs and respond accordingly. It was developed as part of my internship work at @CodeAlpha.
- Basic Conversations: The chatbot can respond to a variety of user inputs such as greetings, simple questions, and casual conversations.
- Customizable: The bot's responses and patterns can be easily customized by adding or modifying the predefined patterns.
- Natural Language Processing: The chatbot uses the
nltklibrary for natural language processing to understand and respond to user input. - Simple Interaction: Users can have a text-based conversation with the chatbot, which will respond with predefined answers or clarify when it doesn't understand.
- Python: The chatbot is developed using Python, which is easy to integrate with various libraries and APIs.
- NLTK (Natural Language Toolkit): This Python library is used to implement the logic for natural language processing, pattern matching, and text manipulation.
To get started, clone this repository to your local machine:
git clone (https://github.com/Muawiya-contact/Chatbot-on-py).git
cd chatbot-project