distributed university management system that automates an institution's academic and administrative processes, using an architecture based on Django, Celery, and Redis to ensure scalability, efficiency, and resilience.

12 Open Issues Need Help Last updated: Oct 20, 2025

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distributed university management system that automates an institution's academic and administrative processes, using an architecture based on Django, Celery, and Redis to ensure scalability, efficiency, and resilience.

Python

distributed university management system that automates an institution's academic and administrative processes, using an architecture based on Django, Celery, and Redis to ensure scalability, efficiency, and resilience.

Python

distributed university management system that automates an institution's academic and administrative processes, using an architecture based on Django, Celery, and Redis to ensure scalability, efficiency, and resilience.

Python

distributed university management system that automates an institution's academic and administrative processes, using an architecture based on Django, Celery, and Redis to ensure scalability, efficiency, and resilience.

Python

distributed university management system that automates an institution's academic and administrative processes, using an architecture based on Django, Celery, and Redis to ensure scalability, efficiency, and resilience.

Python

AI Summary: This issue requires setting up a Python virtual environment and installing core backend dependencies including Django, Celery, Redis client, and psycopg2. The task also involves documenting the setup steps in a `requirements.txt` file and a `dev-setup.md` file, and performing a basic verification.

Complexity: 1/5
good first issue

distributed university management system that automates an institution's academic and administrative processes, using an architecture based on Django, Celery, and Redis to ensure scalability, efficiency, and resilience.

Python

AI Summary: This issue requires the creation of an initial technical specification document in Markdown format. It should consolidate previous deliverables like requirements, actors, modules, and architectures to serve as a base for development planning. The final document should be complete, updated, legible, consistent, and ready for Git versioning.

Complexity: 2/5
documentation good first issue

distributed university management system that automates an institution's academic and administrative processes, using an architecture based on Django, Celery, and Redis to ensure scalability, efficiency, and resilience.

Python

AI Summary: This issue requires designing the deployment architecture for a CMSD system, outlining how Django, Celery, Redis, and PostgreSQL components will be deployed across nodes or containers. The goal is to achieve a distributed, scalable, and reproducible execution environment, with deliverables including an architecture diagram and a conceptual description of the distributed setup.

Complexity: 3/5
documentation good first issue

distributed university management system that automates an institution's academic and administrative processes, using an architecture based on Django, Celery, and Redis to ensure scalability, efficiency, and resilience.

Python

AI Summary: This issue requires designing and visualizing the logical architecture of the CMSD system. The deliverable is a diagram (Mermaid or Eraser.io) illustrating module interactions and main flows, accompanied by a textual description. The goal is to clearly represent the distributed system's logical structure and dependencies.

Complexity: 3/5
documentation good first issue

distributed university management system that automates an institution's academic and administrative processes, using an architecture based on Django, Celery, and Redis to ensure scalability, efficiency, and resilience.

Python

AI Summary: This issue requires defining the core system modules: Authentication, Academic, Notification, and Reporting. The goal is to establish clear responsibilities and scope for each module to ensure separation of concerns and scalability. Deliverables include a descriptive document and a dependency table.

Complexity: 2/5
documentation good first issue

distributed university management system that automates an institution's academic and administrative processes, using an architecture based on Django, Celery, and Redis to ensure scalability, efficiency, and resilience.

Python

AI Summary: This issue requires identifying the primary actors interacting with a system (e.g., Student, Professor, Administrator) and defining their main use cases. The goal is to model these key interactions, with deliverables including a use case diagram and textual descriptions, ensuring all critical functionalities are covered.

Complexity: 2/5
documentation good first issue

distributed university management system that automates an institution's academic and administrative processes, using an architecture based on Django, Celery, and Redis to ensure scalability, efficiency, and resilience.

Python

AI Summary: This issue requires gathering and documenting both functional (what the system does) and non-functional (performance, security, etc.) requirements for a system. The goal is to have a clear understanding of system capabilities and limitations before technical design begins, with deliverables including a requirements document, prioritized feature list, and initial validation.

Complexity: 2/5
documentation good first issue

distributed university management system that automates an institution's academic and administrative processes, using an architecture based on Django, Celery, and Redis to ensure scalability, efficiency, and resilience.

Python