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IAM system using Django that performs tasks asynchronously with Redis and Celery. Implement real-time chats using WebSockets to enhance user communication and optimize the project.

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Django IAM System Project

Overview

This project aims to develop a comprehensive Identity and Access Management (IAM) System using Django, providing robust user authentication, authorization, and security features for a task management platform. The IAM system will implemented tasks asynchronously with Redis and Celery, working with WebSockets to implement chats in live time, improving the communication between the users, resulting in a general optimization of the project.

Features

  1. User Authentication:

    • Implement secure user authentication mechanisms using Django's built-in authentication system.
    • Include support for password-based authentication and multi-factor authentication (MFA).
  2. Role-Based Access Control (RBAC):

    • Design and implement RBAC to manage user roles and permissions.
    • Leverage Django's ORM for efficient handling of role-based access control.
  3. User Registration and Profile Management:

    • Provide a user-friendly registration process.
    • Allow users to manage their profiles and update account information.
  4. Security Measures:

    • Implement security best practices to protect user data.
    • Ensure secure storage of passwords and sensitive information following Django's security recommendations.
  5. Audit Trail and Logging:

    • Maintain an audit trail of user activities and login attempts.
    • Implement logging mechanisms for system monitoring and debugging.
  6. Admin Interface:

    • Utilize Django's powerful and customizable admin interface for efficient management of user-related data.
  7. Password Recovery:

    • Implement a secure process for users to recover or reset their passwords.
    • Include email-based password recovery mechanisms.
  8. Scalability and Performance:

    • Design the system for scalability to handle a growing number of users.
    • Optimize performance for efficient user authentication and authorization.

Technologies Used

  • Backend Framework: Python | Django | Redis | Celery | WebSockets |

  • Authentication System: Django comes with a robust built-in authentication system that provides user registration, login, and password recovery functionalities out of the box. It includes features such as password hashing, session management, and user model customization. Additionally, we may leverage third-party packages like django-allauth for enhanced authentication features.

  • Security Measures: We will follow Django's security guidelines to ensure a secure IAM system. This includes but is not limited to:

    • Proper usage of Django's built-in security features.
    • Implementation of secure password management practices.
    • Protection against common web application vulnerabilities, such as Cross-Site Scripting (XSS) and Cross-Site Request Forgery (CSRF).
    • Regular application of security updates and patches.
    • Secure session management and cookie settings.
    • Configuration of security middleware to enhance overall application security.

Getting Started

To get started with the Django IAM System project, follow these steps:

  1. Clone the Repository:

    git clone https://github.com/yourusername/django-iam-system.git
  2. Setup Virtual Environment:

    python -m venv venv
  3. Activate Virtual Environment:

  • On Windows:
venv\Scripts\activate
  • On macOS/Linux:
source venv/bin/activate
  1. Install Dependencies:
pip install -r requirements.txt
  1. Run Migrations:
python manage.py migrate
  1. Create Superuser (Admin):
python manage.py createsuperuser
  1. Run the Django Development Server:
python manage.py runserver
  1. Access the Django IAM System:

Contribution Guidelines

I will welcome your contributions to enhance and improve the Django IAM System project.

License

This project is licensed under the MIT License.

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IAM system using Django that performs tasks asynchronously with Redis and Celery. Implement real-time chats using WebSockets to enhance user communication and optimize the project.

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