Learning management / Web application

One platform.
Different roles.
Shared learning.

A learning management project connecting student, lecturer, administrator, and developer interfaces with automated exam scoring.

Frontend preview: API-dependent sign-in and records require the original backend.

B.E.A.N.S. / STUDENTIllustrative preview
YOUR LEARNING SPACE

A little progress, every day.

03
Sample courses
02
Sample assessments
Introduction to Computer Science
Database Management
Software Engineering

Sample data and concept UI, not an original application screenshot.

PYTHONDJANGOHTML + CSSJAVASCRIPTSQLITE

A view for everyone
in the learning process.

B.E.A.N.S. LMS brings multiple user interfaces and automated answer analysis into a web application. Its Python and Django foundation connects the frontend with the assessment logic.

01 / INTERFACES

Four perspectives.

Student, lecturer, administrator, and developer interfaces reflect the different people involved in a learning platform.

02 / ASSESSMENT

Answers, analysed.

Automated exam scoring combines cosine similarity, Jaccard similarity, and answer-length analysis.

03 / IMPLEMENTATION

A full web foundation.

Django and SQLite support the application, with HTML, CSS, and JavaScript shaping the browser experience.

Explore the concept

Same platform. Your perspective.

Illustrative role previews for this showcase; no live accounts or student records.

A place to focus on learning.

The student perspective brings the learning experience into one interface.

The examples shown here illustrate each role rather than documenting every implemented feature.

Student perspectiveConcept preview
  • Course overview
  • Assessment workspace
  • Learning progress

Looking beyond
a single matching word.

The project's scoring approach analyses answers through three complementary signals. This showcase describes the approach without reproducing the original grading implementation.

01 / Cosine similarity

Compares text representations to assess similarity.

02 / Jaccard similarity

Examines overlap between sets of terms.

03 / Answer length

Adds a signal based on the length of an answer.

Have something worth building?

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