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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
GraphingCalculatorViewController.swiftREADME.mdneural_network_model.pydatabase.pyproject_info.jsonembeddings.cpython-313.pycCalculatorViewController.swiftapi_integrations.py
README.md
Raw Download

README.md

# Conversational AI Bot

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

Advanced conversational chatbot with context management and multi-turn dialogue support.

## Features

### Core Features
- **Context-aware conversations**: Maintains context across multiple turns
- **Multi-turn dialogue support**: Handles complex conversation flows
- **Intent recognition**: Identifies user intentions from natural language
- **Entity extraction**: Extracts important information from user messages
- **Conversation history**: Stores and retrieves past conversations

### Advanced Features
- **Sentiment Analysis**: Analyzes user sentiment to provide better responses
- **Multi-language Support**: Detects and supports multiple languages (English, Spanish, French, German, Hindi, Chinese, Japanese, Arabic)
- **API Integrations**: Weather, news, jokes, quotes, and calculations
- **Conversation Analytics**: Tracks metrics, intent distribution, and session statistics
- **Response Templates**: Template-based response system for consistent interactions
- **Web Interface**: Beautiful Flask-based web interface for easy interaction
- **Real-time Analytics**: Track conversation patterns and user engagement

## Technologies

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

## Installation

1. Clone the repository:
```bash
git clone <repository-url>
cd conversational-ai-bot
```

2. Install dependencies:
```bash
pip install -r requirements.txt
```

3. Run the chatbot:
```bash
python main.py
```

## Usage

### Basic Usage

```python
from chatbot import ConversationalAIBot

bot = ConversationalAIBot()
response = bot.chat("Hello, how are you?")
print(response)
```

### Advanced Usage with Context

```python
from chatbot import ConversationalAIBot

bot = ConversationalAIBot()
bot.chat("My name is John")
response = bot.chat("What's my name?")
print(response) # The bot remembers your name
```

### Using Advanced Features

```python
from chatbot import ConversationalAIBot

bot = ConversationalAIBot()

# Sentiment Analysis
sentiment = bot.get_sentiment_analysis("I'm feeling great today!")
print(sentiment['sentiment']) # 'positive'

# Language Support
bot.set_language('es') # Set to Spanish
current_lang = bot.get_current_language()

# Analytics
analytics = bot.get_analytics()
summary = bot.get_analytics_summary()
print(summary)

# API Integrations
response = bot.chat("Tell me a joke")
response = bot.chat("What's 25 + 17?")
response = bot.chat("Weather in New York")
```

### Web Interface

Start the web interface:

```bash
python app.py
```

Then open your browser to `http://localhost:5000`

## Project Structure

```
conversational-ai-bot/
├── main.py # Main CLI entry point
├── app.py # Flask web interface
├── 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
├── sentiment_analyzer.py # Sentiment analysis
├── language_support.py # Multi-language support
├── api_integrations.py # External API integrations
├── conversation_analytics.py # Analytics and metrics
├── response_templates.py # Response templates
├── config.py # Configuration settings
├── example_usage.py # Usage examples
├── test_chatbot.py # Test suite
├── templates/ # Web interface templates
│ └── index.html # Main web interface
├── requirements.txt # Python dependencies
└── README.md # This file
```

## Features

### Context Management
The bot maintains conversation context, allowing it to reference previous messages and maintain coherent multi-turn dialogues.

### Intent Recognition
Uses pattern matching and machine learning techniques to identify user intentions from natural language input.

### Entity Extraction
Extracts entities such as names, dates, locations, and other important information from user messages.

### Conversation History
Stores conversation history for each session, enabling the bot to reference past interactions.

## License

This project is provided by RSK World (https://rskworld.in) for educational and development purposes.

## Contact

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

---

© 2026 RSK World. All rights reserved.

api_integrations.py
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"""
API Integrations Module
Integrates with external APIs for enhanced functionality.

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

import requests
from typing import Dict, Optional
from datetime import datetime
import json


class APIIntegrations:
    """
    Handles integrations with external APIs.
    """
    
    def __init__(self):
        """Initialize API integrations."""
        self.weather_api_key = None  # Set your API key if needed
        self.news_api_key = None  # Set your API key if needed
        self.timeout = 5  # Request timeout in seconds
    
    def get_weather(self, location: str) -> Dict:
        """
        Get weather information for a location.
        
        Args:
            location: Location name or city
            
        Returns:
            Dictionary with weather information or error message
        """
        # Mock weather response (replace with actual API call)
        # Example: OpenWeatherMap API
        if not location:
            return {
                'success': False,
                'error': 'Location not provided'
            }
        
        # Mock response for demonstration
        # In production, use: https://api.openweathermap.org/data/2.5/weather
        return {
            'success': True,
            'location': location,
            'temperature': '22°C',
            'condition': 'Partly Cloudy',
            'humidity': '65%',
            'wind_speed': '10 km/h',
            'note': 'This is a mock response. Configure API key for real data.'
        }
    
    def get_news(self, topic: Optional[str] = None, limit: int = 5) -> Dict:
        """
        Get news articles.
        
        Args:
            topic: News topic (optional)
            limit: Number of articles to return
            
        Returns:
            Dictionary with news articles or error message
        """
        # Mock news response (replace with actual API call)
        # Example: NewsAPI
        mock_articles = [
            {
                'title': 'Technology Advances in AI',
                'description': 'Recent developments in artificial intelligence...',
                'source': 'Tech News',
                'published_at': datetime.now().isoformat()
            },
            {
                'title': 'Python Programming Trends',
                'description': 'Latest trends in Python development...',
                'source': 'Dev News',
                'published_at': datetime.now().isoformat()
            }
        ]
        
        if topic:
            mock_articles = [a for a in mock_articles if topic.lower() in a['title'].lower()]
        
        return {
            'success': True,
            'articles': mock_articles[:limit],
            'count': len(mock_articles[:limit]),
            'note': 'This is a mock response. Configure API key for real data.'
        }
    
    def get_joke(self) -> Dict:
        """
        Get a random joke.
        
        Returns:
            Dictionary with joke or error message
        """
        # Mock joke (replace with actual API call)
        # Example: JokeAPI or icanhazdadjoke.com
        jokes = [
            {
                'setup': 'Why did the Python programmer not respond?',
                'punchline': 'Because they were stuck in an infinite loop!'
            },
            {
                'setup': 'How do you comfort a JavaScript bug?',
                'punchline': 'You console it!'
            },
            {
                'setup': 'Why do programmers prefer dark mode?',
                'punchline': 'Because light attracts bugs!'
            }
        ]
        
        import random
        joke = random.choice(jokes)
        
        return {
            'success': True,
            'joke': joke,
            'note': 'This is a mock response. Configure API for real jokes.'
        }
    
    def get_quote(self) -> Dict:
        """
        Get an inspirational quote.
        
        Returns:
            Dictionary with quote or error message
        """
        # Mock quote (replace with actual API call)
        # Example: Quotable API or ZenQuotes API
        quotes = [
            {
                'text': 'The only way to do great work is to love what you do.',
                'author': 'Steve Jobs'
            },
            {
                'text': 'Innovation distinguishes between a leader and a follower.',
                'author': 'Steve Jobs'
            },
            {
                'text': 'Code is like humor. When you have to explain it, it\'s bad.',
                'author': 'Cory House'
            }
        ]
        
        import random
        quote = random.choice(quotes)
        
        return {
            'success': True,
            'quote': quote,
            'note': 'This is a mock response. Configure API for real quotes.'
        }
    
    def calculate(self, expression: str) -> Dict:
        """
        Evaluate a mathematical expression.
        
        Args:
            expression: Mathematical expression to evaluate
            
        Returns:
            Dictionary with calculation result or error
        """
        try:
            # Simple calculation (use with caution in production)
            # For production, use a proper math parser
            result = eval(expression.replace('^', '**'))
            return {
                'success': True,
                'expression': expression,
                'result': result
            }
        except Exception as e:
            return {
                'success': False,
                'error': f'Invalid expression: {str(e)}'
            }
    
    def set_weather_api_key(self, api_key: str):
        """Set weather API key."""
        self.weather_api_key = api_key
    
    def set_news_api_key(self, api_key: str):
        """Set news API key."""
        self.news_api_key = api_key

196 lines•6 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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© 2026 RSK World. All rights reserved.

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