Dobby Chatbot is a conversational agent developed as a hobby project while exploring Python's NLTK library. Built using the nltk.chat.util module with Chat and reflections, this chatbot simulates a conversation with users based on predefined patterns and responses.
Dobby The-Chatbot offers the following features:
- Conversational Interaction: Engages users in conversation based on predefined patterns and responses.
- Python and NLTK Implementation: Utilizes Python programming language and the NLTK library to create the chatbot.
- Jupyter Notebook Integration: Developed and tested within a Jupyter Notebook environment for interactive learning and experimentation.
- Python Implementation: The chatbot logic is implemented using Python, employing NLTK's
Chatandreflectionsutilities. - Jupyter Notebooks: The development, testing, and exploration of Dobby Chatbot were conducted within a Jupyter Notebook environment.
- NLTK Library: Utilizes NLTK (Natural Language Toolkit) to facilitate text processing and pattern matching for the chatbot's responses.
- Clone or download this repository to your local machine.
https://github.com/MTank76/Dobby-The-Chatbot.git - Open and run the Jupyter Notebook (
dobby_chatbot.ipynb) in a Jupyter environment to interact with Dobby Chatbot.
Contributions are welcome! If you'd like to contribute to this project, feel free to open issues for suggestions or submit pull requests with proposed enhancements.