This is a small Python chatbot made for learning purposes. It uses simple if-else rules to reply to users and fuzzy string matching to handle small spelling mistakes. The goal is to understand how basic chatbots work, not to build something advanced.
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Rule-based replies Uses straightforward if-else logic to respond to known inputs.
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Spelling correction Uses the Levenshtein Distance algorithm so the bot can still understand input with minor spelling errors.
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Simple terminal interface Runs in the command line and is easy to use.
git clone https://github.com/silentcoderhere/chatbotcd chatbotpython main.py- All responses must be added manually
- Performance drops with large word lists
- No machine learning or NLP features
- Very basic memory handling
This project uses the MIT License. Check the LICENSE file for details.
Note: This is a beginner-level project made mainly for practice and understanding chatbot basics.