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This system allows you to: Process events in real-time from multiple sources Handle different types of events differently Maintain statistics and track user behaviors Provide both WebSocket and REST API interfaces Scale horizontally for high throughput

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Event Processing Application 🎯

Python Streamlit License Contributions Welcome

A modern, user-friendly event processing application built with Python and Streamlit. This application provides an intuitive interface for managing events, with features like event creation, tracking, and analytics.

🌟 Features

  • Modern UI/UX Design: Clean and intuitive interface with custom styling
  • Event Management: Create, update, and delete events easily
  • Interactive Components: Custom-styled buttons and input fields
  • Filtering Capabilities: Filter events by status and category
  • Data Visualization: Analyze event data through interactive charts
  • Data Persistence: SQLite database for reliable data storage
  • Responsive Design: Works seamlessly on different screen sizes

🚀 Quick Start

Prerequisites

  • Python 3.8 or higher (Recommended: 3.12)
  • pip (Python package installer)

Installation

  1. Clone the repository:
git clone https://github.com/yourusername/event-processing-app.git
cd event-processing-app
  1. Create a virtual environment (recommended):
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
  1. Install dependencies:
pip install -r requirements.txt
  1. Run the application:
streamlit run app.py

The application will open in your default web browser at http://localhost:8501.

📚 Usage

  1. Creating Events:

    • Navigate to the "Create Event" section
    • Fill in the event details
    • Click "Create Event" to save
  2. Viewing Events:

    • Go to the "View Events" section
    • Use filters to sort events
    • Update event status or delete events as needed
  3. Analytics:

    • Check the "Analytics" section for insights
    • View event distribution by category and status
    • Monitor event timeline and recent activity

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

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

📝 License

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

🙏 Acknowledgments

  • Streamlit for the amazing framework
  • Contributors who have helped improve this project
  • The open-source community for inspiration and support

📞 Contact

Email : Email Project Link: https://github.com/Drago-03/Event-Processing

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This system allows you to: Process events in real-time from multiple sources Handle different types of events differently Maintain statistics and track user behaviors Provide both WebSocket and REST API interfaces Scale horizontally for high throughput

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