Python Learning Chatbot

A simple console-based chatbot developed using Python. The chatbot uses a JSON knowledge base to store questions and answers and employs fuzzy string matching (difflib) to identify the closest matching question.

Features

• Interactive command-line chatbot
• Fuzzy matching for user queries
• Dynamic learning of new questions and answers
• Automatic knowledge base updates using JSON
• Simple and beginner-friendly implementation

Technologies Used

• Python
• JSON
• difflib

How It Works

1. The chatbot loads questions and answers from a JSON file.
2. When a user enters a question, the chatbot searches for the closest matching question.
3. If a match is found, the corresponding answer is displayed.
4. If no match exists, the chatbot asks the user to provide an answer.
5. The new question-answer pair is stored in the knowledge base for future interactions.

Project Structure

├── main.py ├── knowledge_base.json └── README.md

Future Improvements

• GUI using Tkinter
• Flask-based web interface
• NLP integration using NLTK or spaCy
• Speech-to-text and text-to-speech support
• Database integration (MySQL/SQLite)

Author

Sri Sai Rishita Tadisetti B.Tech CSE | Aspiring AI/ML Engineer