🤖 NLP AI Chatbot

An NLP-based AI chatbot built using Python, TensorFlow/Keras, and NLTK.
The chatbot uses intent classification with a deep learning model to understand user queries and provide suitable responses. It supports both text-based interaction and a voice-enabled chatbot mode.

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📌 Overview

This project implements an AI chatbot that can handle common computer and device-related queries such as:

• Screen issues
• Battery problems
• Wi-Fi connectivity issues
• Software problems
• Printer issues
• Keyboard and mouse issues

The chatbot is trained using a custom JSON dataset containing different intents, patterns, and responses.

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✨ Features

• 🧠 Deep Learning-based intent classification
• 💬 Text-based chatbot interaction
• 🎙️ Voice-enabled chatbot interaction
• 📄 JSON-based training data
• 🔤 Text preprocessing using NLTK
• 🗣️ Speech recognition and text-to-speech support
• 💾 Saved trained model for chatbot execution

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🛠️ Technologies Used

• Python 🐍
• TensorFlow
• Keras
• NLTK
• NumPy
• SpeechRecognition
• gTTS
• Pyttsx3

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📂 Project Structure

NLP-AI-Chatbot
│
├── chatbot_train.py          # Train the chatbot deep learning model
├── chatbot_execution.py      # Text-based chatbot execution
├── voice_chatbot2.py         # Voice-enabled chatbot execution
├── intents.json              # Training dataset containing intents
├── chatbot_model.h5          # Trained chatbot model
├── words.pkl                 # Processed vocabulary data
├── classes.pkl               # Intent class data
├── requirements.txt          # Required Python libraries
└── README.md                 # Project documentation

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⚙️ Installation

Clone the repository:

git clone https://github.com/Sathyabyte/NLP-AI-Chatbot.git

Navigate to the project folder:

cd NLP-AI-Chatbot

Install required dependencies:

pip install -r requirements.txt

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▶️ How to Run

1. Train the chatbot model

python chatbot_train.py

This creates the trained chatbot model and required files.

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2. Run Text Chatbot

python chatbot_execution.py

The chatbot will accept user input through the terminal and generate responses.

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3. Run Voice Chatbot

python voice_chatbot2.py

The chatbot can take voice input and respond using text-to-speech.

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💬 Example Conversation

You: My Wi-Fi is not working

Chatbot:
Restart your router and device, and try connecting again.

You: My battery is draining quickly

Chatbot:
Check if any apps are consuming too much power.

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🚀 Future Improvements

• Add more intents and responses
• Improve conversation memory
• Add a graphical user interface (GUI)
• Deploy as a web application

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👩‍💻 Author

Sathyabyte

BCA (Hons) Student | Data Science + AI/ML