🌿 AjrQoraSedan Bot

A comprehensive Telegram bot providing detailed information about Black Seed (Qora Sedana) with expert consultation services

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🌟 Overview

AjrQoraSedan is an intelligent Telegram bot designed to educate users about the remarkable health benefits of Black Seed (Qora Sedana) - a natural superfood with centuries of traditional use. The bot not only provides comprehensive information but also connects users with certified specialists for personalized consultations.

✨ Key Features

• 📚 Comprehensive Database - Extensive information about Black Seed benefits, usage, and research
• 👨‍⚕️ Expert Consultation - Free direct access to certified specialists
• 🌍 Multi-language Support - Available in multiple languages
• 📊 User Analytics - Track engagement and popular queries
• 🔔 Smart Notifications - Personalized health tips and reminders
• 💬 Interactive Chat - Natural conversation flow with intelligent responses

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🎯 Project Goals

Our mission is to make natural health information accessible to everyone through technology:

• Educate users about the scientifically-proven benefits of Black Seed
• Connect people with qualified health specialists
• Promote natural wellness solutions
• Build a community of health-conscious individuals

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🛠️ Technology Stack

Python 3.8+

Aiogram 3.0+

PostgreSQL

SQLAlchemy

🔧 Additional Dependencies

• asyncio - Asynchronous programming support
• aiohttp - HTTP client/server for asyncio
• python-dotenv - Environment variable management
• psycopg2 - PostgreSQL adapter
• redis - Caching and session management

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🚀 Quick Start

Prerequisites

Before running the bot, ensure you have:

• Python 3.8 or higher
• PostgreSQL database
• Telegram Bot Token (from @BotFather)
• Git installed

Installation

1. Clone the repository

   git clone https://github.com/yourusername/ajrqorasedan.git
   cd ajrqorasedan

2. Create and activate virtual environment

   # On macOS/Linux
   python3 -m venv venv
   source venv/bin/activate
   
   # On Windows
   python -m venv venv
   venv\Scripts\activate

3. Install dependencies

   pip install -r requirements.txt

4. Environment setup

   # Create .env file
   cp .env.example .env
   
   # Edit .env with your credentials
   nano .env

5. Database setup

   # Create database tables
   python setup_db.py
   
   # Run migrations (if any)
   python migrate.py

6. Run the bot

   python bot.py

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🔧 Configuration

Create a .env file in the root directory with the following variables:

# Bot Configuration
BOT_TOKEN=your_telegram_bot_token_here
ADMIN_ID=your_telegram_user_id

# Database Configuration
DATABASE_URL=postgresql://username:password@localhost:5432/ajrbot_db

# Redis Configuration (Optional)
REDIS_URL=redis://localhost:6379

# Logging
LOG_LEVEL=INFO

# API Keys (if needed)
OPENAI_API_KEY=your_openai_key_here

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🎮 Bot Commands

Command	Description
/start	Initialize the bot and show welcome message
@your_bot_username	search

🌍 Features in Detail

📚 Information System

• Comprehensive database of Black Seed benefits
• Scientific research references
• Usage guidelines and dosage recommendations
• Side effects and contraindications

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📊 Performance Monitoring

The bot includes built-in monitoring features:

• Response Time Tracking - Monitor bot response times
• Error Logging - Comprehensive error tracking
• User Analytics - Track user interactions and engagement
• Health Checks - Automated system health monitoring

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🔒 Security Features

• Data Encryption - All sensitive data is encrypted
• Rate Limiting - Prevents spam and abuse
• Input Validation - Validates all user inputs
• Access Control - Admin-only commands and features

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Manual Deployment

# Install production dependencies
pip install -r requirements.txt

# Set environment variables
export BOT_TOKEN=your_token_here
export DATABASE_URL=your_database_url

# Run with gunicorn (if using webhooks)
gunicorn -w 4 -k uvicorn.workers.UvicornWorker app:app

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🤝 Contributing

We welcome contributions! Please follow these steps:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Development Guidelines

• Follow PEP 8 style guidelines
• Write unit tests for new features
• Update documentation for any changes
• Use meaningful commit messages

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📝 License

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

📞 Support

If you encounter any issues or have questions:

• 🐛 Issues: GitHub Issues

🙏 Acknowledgments

• Thanks to all contributors who helped build this project
• Special thanks to the natural health community for their support
• Inspired by the ancient wisdom of traditional medicine

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Made with ❤️ for natural health enthusiasts

⭐ Star this repository if you find it helpful!