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RSK World
conversational-ai-bot
RSK World
conversational-ai-bot
Conversational AI Bot - Python + NLP + Flask + Machine Learning + Chatbot + AI
conversational-ai-bot
  • __pycache__
  • static
  • templates
  • .gitignore577 B
  • ADVANCED_FEATURES.md5.7 KB
  • CHANGELOG.md2.2 KB
  • INSTALLATION.md1.8 KB
  • LICENSE1.2 KB
  • PROJECT_INFO.md2.8 KB
  • PROJECT_STATUS.md3.4 KB
  • QUICKSTART.md2.5 KB
  • README.md4.8 KB
  • __init__.py448 B
  • api_integrations.py6 KB
  • app.py4.2 KB
  • chatbot.py14.8 KB
  • config.py1.1 KB
  • context_manager.py5.8 KB
  • conversation_analytics.py5.9 KB
  • conversation_history.json413 B
  • conversation_history.py4.9 KB
  • entity_extractor.py6.6 KB
  • example_usage.py4.3 KB
  • intent_recognizer.py6.6 KB
  • language_support.py5 KB
  • main.py4.7 KB
  • requirements.txt311 B
  • response_templates.py7.2 KB
  • sentiment_analyzer.py5.6 KB
  • setup.py1.6 KB
  • test_chatbot.py5 KB
  • validate_project.py4.1 KB
config.jsINSTALLATION.mdPROJECT_INFO.mdmain.py
INSTALLATION.md
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INSTALLATION.md

# Installation Guide

<!--
Project: Conversational AI Bot
Developer: RSK World
Website: https://rskworld.in
Email: help@rskworld.in
Phone: +91 93305 39277
Year: 2026
-->

## Prerequisites

- Python 3.8 or higher
- pip (Python package manager)

## Installation Steps

### 1. Clone or Download the Project

```bash
# If using git
git clone <repository-url>
cd conversational-ai-bot

# Or extract the ZIP file if downloaded
```

### 2. Create a Virtual Environment (Recommended)

```bash
# Windows
python -m venv venv
venv\Scripts\activate

# Linux/Mac
python3 -m venv venv
source venv/bin/activate
```

### 3. Install Dependencies

```bash
pip install -r requirements.txt
```

### 4. Download NLTK Data (Required)

```bash
python -c "import nltk; nltk.download('punkt'); nltk.download('stopwords')"
```

### 5. Run the Chatbot

```bash
python main.py
```

## Alternative Installation (Using setup.py)

```bash
pip install -e .
```

## Troubleshooting

### Issue: ModuleNotFoundError

**Solution**: Make sure all dependencies are installed:
```bash
pip install -r requirements.txt
```

### Issue: NLTK Data Not Found

**Solution**: Download required NLTK data:
```bash
python -c "import nltk; nltk.download('punkt'); nltk.download('stopwords')"
```

### Issue: Colorama Not Working on Windows

**Solution**: Colorama should work automatically on Windows. If not, ensure it's installed:
```bash
pip install colorama
```

## Running Examples

To see example usage:

```bash
python example_usage.py
```

## Development

For development, install in editable mode:

```bash
pip install -e .
```

## Contact

For issues or questions:
- **Website**: https://rskworld.in
- **Email**: help@rskworld.in
- **Phone**: +91 93305 39277

---

© 2026 RSK World. All rights reserved.

PROJECT_INFO.md
Raw Download

PROJECT_INFO.md

# Project Information

<!--
Project: Conversational AI Bot
Developer: RSK World
Website: https://rskworld.in
Email: help@rskworld.in
Phone: +91 93305 39277
Year: 2026
-->

## Project Overview

**Conversational AI Bot** is an advanced conversational chatbot with context management and multi-turn dialogue support.

## Project Details

- **ID**: 3
- **Title**: Conversational AI Bot
- **Category**: Conversational AI
- **Difficulty**: Intermediate
- **Version**: 1.0.0

## Description

This chatbot project implements advanced conversational AI with context awareness, multi-turn dialogue handling, and intelligent response generation. Features include conversation history, context management, and natural language understanding.

## Features

- ✅ Context-aware conversations
- ✅ Multi-turn dialogue support
- ✅ Intent recognition
- ✅ Entity extraction
- ✅ Conversation history

## Technologies

- Python 3.8+
- Natural Language Processing (NLP)
- Machine Learning
- Rasa (optional integration)
- Dialogflow (optional integration)

## Project Structure

```
conversational-ai-bot/
├── main.py # Main entry point
├── chatbot.py # Core chatbot class
├── context_manager.py # Context management
├── intent_recognizer.py # Intent recognition
├── entity_extractor.py # Entity extraction
├── conversation_history.py # Conversation history management
├── config.py # Configuration settings
├── example_usage.py # Usage examples
├── test_chatbot.py # Test suite
├── setup.py # Installation script
├── requirements.txt # Python dependencies
├── README.md # Main documentation
├── QUICKSTART.md # Quick start guide
├── INSTALLATION.md # Installation guide
├── LICENSE # License file
└── .gitignore # Git ignore file
```

## Installation

See [INSTALLATION.md](INSTALLATION.md) for detailed installation instructions.

## Quick Start

See [QUICKSTART.md](QUICKSTART.md) for quick start guide.

## Usage

### Interactive Mode

```bash
python main.py
```

### Programmatic Usage

```python
from chatbot import ConversationalAIBot

bot = ConversationalAIBot()
response = bot.chat("Hello, my name is John")
print(response)
```

## Developer Information

- **Developer**: RSK World
- **Website**: https://rskworld.in
- **Email**: help@rskworld.in
- **Phone**: +91 93305 39277
- **Year**: 2026

## License

MIT License - See [LICENSE](LICENSE) for details.

## Support

For support, questions, or issues:
- Visit: https://rskworld.in
- Email: help@rskworld.in
- Phone: +91 93305 39277

---

© 2026 RSK World. All rights reserved.

main.py
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Find: Go to:
"""
Conversational AI Bot - Main Entry Point
Advanced conversational chatbot with context management and multi-turn dialogue support.

Developer: RSK World
Website: https://rskworld.in
Email: help@rskworld.in
Phone: +91 93305 39277
Year: 2026
"""

from chatbot import ConversationalAIBot
from colorama import init, Fore, Style
import sys

# Initialize colorama for Windows
init(autoreset=True)


def print_banner():
    """Print welcome banner."""
    banner = f"""
{Fore.CYAN}{'='*60}
{Fore.CYAN}     Conversational AI Bot - Advanced Chatbot System
{Fore.CYAN}{'='*60}
{Fore.GREEN}Features:
{Fore.WHITE}  • Context-aware conversations
{Fore.WHITE}  • Multi-turn dialogue support
{Fore.WHITE}  • Intent recognition
{Fore.WHITE}  • Entity extraction
{Fore.WHITE}  • Conversation history

{Fore.YELLOW}Developer: {Fore.WHITE}RSK World
{Fore.YELLOW}Website: {Fore.WHITE}https://rskworld.in
{Fore.YELLOW}Email: {Fore.WHITE}help@rskworld.in
{Fore.YELLOW}Phone: {Fore.WHITE}+91 93305 39277
{Fore.YELLOW}Year: {Fore.WHITE}2026

{Fore.CYAN}{'='*60}
{Fore.WHITE}Type 'help' for commands, 'quit' or 'exit' to end
{Fore.CYAN}{'='*60}
"""
    print(banner)


def print_help():
    """Print help information."""
    help_text = f"""
{Fore.GREEN}Available Commands:
{Fore.WHITE}  help              - Show this help message
{Fore.WHITE}  context            - Show current conversation context
{Fore.WHITE}  history            - Show conversation history
{Fore.WHITE}  clear              - Clear conversation history
{Fore.WHITE}  quit / exit        - Exit the chatbot

{Fore.GREEN}Example Interactions:
{Fore.WHITE}  • "Hello" - Greet the bot
{Fore.WHITE}  • "My name is John" - Introduce yourself
{Fore.WHITE}  • "What's my name?" - Ask the bot to recall your name
{Fore.WHITE}  • "What can you do?" - Learn about bot capabilities
{Fore.WHITE}  • "What time is it?" - Get current time
{Fore.WHITE}  • "What's the date?" - Get current date
"""
    print(help_text)


def main():
    """Main function to run the chatbot."""
    print_banner()
    
    # Initialize bot
    bot = ConversationalAIBot()
    
    print(f"{Fore.GREEN}Bot initialized successfully!{Fore.WHITE}\n")
    
    # Main conversation loop
    while True:
        try:
            user_input = input(f"{Fore.CYAN}You: {Fore.WHITE}").strip()
            
            if not user_input:
                continue
            
            # Handle special commands
            if user_input.lower() == 'help':
                print_help()
                continue
            
            elif user_input.lower() == 'context':
                context_summary = bot.get_context_summary()
                print(f"{Fore.GREEN}Context: {Fore.WHITE}{context_summary}\n")
                continue
            
            elif user_input.lower() == 'history':
                history = bot.get_conversation_history(limit=10)
                if history:
                    print(f"{Fore.GREEN}Recent Conversation History:{Fore.WHITE}")
                    for entry in history[-5:]:
                        print(f"  {Fore.YELLOW}You: {Fore.WHITE}{entry.get('user_message', 'N/A')}")
                        print(f"  {Fore.CYAN}Bot: {Fore.WHITE}{entry.get('bot_response', 'N/A')}")
                        print()
                else:
                    print(f"{Fore.YELLOW}No conversation history yet.{Fore.WHITE}\n")
                continue
            
            elif user_input.lower() == 'clear':
                bot.clear_session()
                print(f"{Fore.GREEN}Conversation history cleared.{Fore.WHITE}\n")
                continue
            
            elif user_input.lower() in ['quit', 'exit', 'bye']:
                response = bot.chat(user_input)
                print(f"{Fore.CYAN}Bot: {Fore.WHITE}{response}\n")
                print(f"{Fore.GREEN}Thank you for using Conversational AI Bot!{Fore.WHITE}")
                print(f"{Fore.YELLOW}Developed by RSK World - https://rskworld.in{Fore.WHITE}\n")
                break
            
            # Process user message
            response = bot.chat(user_input)
            print(f"{Fore.CYAN}Bot: {Fore.WHITE}{response}\n")
        
        except KeyboardInterrupt:
            print(f"\n{Fore.YELLOW}Interrupted by user.{Fore.WHITE}")
            print(f"{Fore.GREEN}Thank you for using Conversational AI Bot!{Fore.WHITE}")
            print(f"{Fore.YELLOW}Developed by RSK World - https://rskworld.in{Fore.WHITE}\n")
            sys.exit(0)
        
        except Exception as e:
            print(f"{Fore.RED}Error: {Fore.WHITE}{str(e)}\n")
            continue


if __name__ == "__main__":
    main()

136 lines•4.7 KB
python
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About RSK World

Founded by Molla Samser, with Designer & Tester Rima Khatun, RSK World is your one-stop destination for free programming resources, source code, and development tools.

Founder: Molla Samser
Designer & Tester: Rima Khatun

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Contact Info

Nutanhat, Mongolkote
Purba Burdwan, West Bengal
India, 713147

+91 93305 39277

hello@rskworld.in
support@rskworld.in

© 2026 RSK World. All rights reserved.

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