JR LMS
Independent public portfolio · Jelvan R.

LMS

Course learning and assessment scaffold documenting questions, lessons and learners.

PythonDjangoAssessments
Public adaptation, not the actual production application. Revised to respect confidentiality obligations; no client, employer or company endorsement or affiliation is claimed. Verified as a scaffold, not a fully tested production LMS.

Implementation notes — LMS

Evidence ledger

  • Bolek-OnlineCourses README explicitly calls this a runnable Django assignment scaffold.
  • Source contains manage.py, course app, templates, requirements.txt, and optional Worker proxy.
  • Source specifies Django 4.2 through below 5.2 in requirements.txt.

Functional narrative

An online course and quiz/assessment demonstration, built around learners, instructors, lessons, questions and assessment results.

Functional areas

  • Course, lesson, learner and enrollment models
  • Administrative management of learning records
  • Question/choice submission and result feedback
  • Local Django development workflow

Implementation constraints

  • Do not claim enterprise LMS maturity, payment support, mobile-native apps, or a production cloud deployment.
  • Demo user details and grading content must be synthetic.

What this repository implements

  • Markdown documentation, project-level metadata, safe viewer mode classification and release checklists.
  • No actual application runtime, private source tree, database schema, email transport, credentials or deployment wiring.
  • No real live preview is wired without an approved separate demo endpoint.

Mapping from source to public presentation

The source references have been read for high-level technical accuracy, but private repositories and URLs are intentionally not disclosed in this publication. Documentation is paraphrased and stripped of confidential configuration. Technical assumptions requiring full source review remain marked as unverified.

Upgrade path

  1. Verify exact product and canonical source/version with the rights holder.
  2. Inventory features that may safely be demonstrated.
  3. Capture anonymized screenshots and create fake-data demo fixtures.
  4. Independently test each indicated platform.
  5. Update portfolio.json only after a reviewer approves the published claim.
This independent showcase can differ from actual systems and may omit confidential details. See the full disclaimer and the public GitHub repository.