🤖 Neural Chatbot - Your AI Companion

🌟 Overview

Welcome to the Neural Chatbot project - a sophisticated AI-powered conversational agent built with cutting-edge deep learning technologies. This chatbot utilizes natural language processing and neural networks to understand and respond to user queries intelligently.

🚀 Features

• Neural Network Architecture: Custom-built feed-forward neural network using PyTorch
• Natural Language Processing: Advanced text processing using NLTK
• Intent Recognition: Sophisticated pattern matching and intent classification
• Customizable Responses: Easy-to-modify response patterns via JSON configuration
• Real-time Chat: Interactive command-line interface for seamless conversation
• Web Interface: Flask-based web application for a modern chat experience

🛠️ Technology Stack

• PyTorch: For neural network implementation and training
• NLTK: Natural Language Processing tasks
• Python: Core programming language
• Flask: Web application framework
• JSON: Intent and response configuration

📦 Installation

1. Clone the repository:

git clone https://github.com/yourusername/neural-chatbot.git
cd neural-chatbot

2. Install required packages:

pip install torch nltk flask

3. Download required NLTK data:

import nltk
nltk.download('punkt')

🎯 Usage

Training the Model

python train.py

Starting the Chat Interface

python chat.py

Running the Web Application

python app.py

🧠 How It Works

1. Text Processing:

   • Tokenization of user input
   • Bag-of-words representation
   • Pattern matching

2. Neural Network:

   • Input Layer: Matches vocabulary size
   • Hidden Layer: Customizable neurons
   • Output Layer: Matches number of classes

3. Response Generation:

   • Intent classification
   • Probability threshold checking
   • Random response selection from matched intent

📁 Project Structure

neural-chatbot/
├── train.py         # Model training script
├── chat.py         # CLI chat interface
├── app.py          # Flask web application
├── model.py        # Neural network architecture
├── nltk_utils.py   # Text processing utilities
├── intents.json    # Training data and responses
├── data.pth        # Trained model data
└── templates/      # Web interface templates

Screenshots

⚙️ Configuration

Modify intents.json to customize:

• Chat patterns
• Response templates
• Training data

🔮 Future Enhancements

• Multi-language support
• Sentiment analysis integration
• Voice interface
• Context awareness
• Dynamic learning capabilities

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📫 Contact

For any queries or suggestions, please open an issue in the repository.

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Made with ❤️ and 🤖 by ROHIT