A beginner-friendly NLP based chatbot built using Python and NLTK. This chatbot can understand basic user inputs and respond in English or Hinglish.
This project is a simple Natural Language Processing (NLP) chatbot created as part of a learning task.
The chatbot: - Takes user input - Processes text using NLP techniques - Matches it with predefined intents - Returns an appropriate response
It is designed to be easy to understand and beginner-friendly.
- 💬 Interactive chatbot interface (Terminal-based)
- 🌐 Supports English and Hinglish responses
- 🔀 Random response selection from multiple replies
- 🧠 Basic NLP preprocessing (tokenization, stopword removal)
- 📁 Uses JSON file for storing intents and responses
- 🔄 Easy to modify and expand
- 🎓 Beginner-friendly code structure
- Python 3
- NLTK (Natural Language Toolkit)
- JSON
git clone https://github.com/lakshminarayanverma91-bot/chatbot
pip install nltk
python chatbot.py
- User enters a message
- Text is tokenized using NLTK
- Stopwords are removed
- Input is matched with predefined patterns
- A random response is selected
- Response is displayed in English or Hinglish
- Add Machine Learning model (e.g., TensorFlow / PyTorch)
- Add GUI using Tkinter or Streamlit
- Add speech-to-text feature
- Deploy on web using Flask or Django
- Add database integration
- Understand basics of NLP
- Work with JSON data
- Implement simple chatbot logic
- Improve Python programming skills
Laxmi Narayan Verma BSc (Hons) Computer Science Delhi University
This project is open-source and free to use for learning purposes.