• About The Project
• Live Demo
• Built With
• Features
• How It Works
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Project Structure
• Screenshots / Demo
• Architecture
• Future Enhancements
• Contributing
• Contact
• License

This is a chatbot application built using Python and NLTK (Natural Language Toolkit) for basic natural language understanding.
It’s deployed on Streamlit Cloud, giving a simple web UI for users to chat with the bot.

Live Demo: Streamlit Chatbot

• Python — core programming language
• NLTK — for tokenization, lemmatization, and simple NLP tasks
• Streamlit — for the web interface
• Streamlit Cloud — for hosting the bot

• 🗣️ Accepts user input in natural language
• 🔄 Tokenizes and lemmatizes input using NLTK
• 💬 Rule-based / pattern-based response generation (or simple intent matching)
• ✅ Simple UI with Streamlit for chat interface
• ⚙️ Easily extensible — new intents / patterns can be added
• 📥 Logs conversation (optional — if implemented)

1. User Input
   • User types a message in the Streamlit chat box.
2. Preprocessing
   • The input is tokenized and normalized using NLTK (e.g., nltk.word_tokenize, lemmatizer).
3. Intent Matching / Response Selection
   • The bot checks the processed input against predefined patterns/intents.
   • It selects a response based on the matched intent (or fallback).
4. Response Display
   • The bot's answer is displayed back to the user in the chat UI.
5. (Optional) Logging
   • Conversation history can be saved in a file / database for analysis / improvement.

• Python 3.8+
• pip (or another package manager)

1. Clone the repository

   git clone https://github.com/ramanuj-droid/Python-Chatbot.git