Education Usage scenario

Adaptive e-learning platform

An LMS platform that adapts each learner's path to their level and progress, to limit dropouts.

Describe your project See the solution

Project overview

This scenario illustrates what we build; it is not a client reference.

This scenario shows how a training provider can offer learning paths matched to each learner's level. An LMS platform assesses skills at the start, tracks progress and adjusts the content. The goal: more learners completing their course.

Client challenges & requirements

A professional training provider whose e-learning platform gives everyone the same linear path. Advanced learners get bored, the others fall behind.

Engagement drops and the dropout rate stays high.

Main objectives

Create personalized learning paths based on initial skills and progress of each learner

Dynamically recommend content (videos, articles, quizzes) to fill identified gaps

Increase the course completion rate

Improve engagement and user satisfaction

Project solution

Prisma Soft builds a learning platform (LMS) designed around adaptation. Each course is linked to a skills graph, with an initial assessment.
An algorithm analyses results continuously and recommends the next modules. The React front-end keeps navigation smooth, and trainers get detailed analytics.

Indicators to track

Completion rate per course
Number of activities completed per week
Average time to certification
Learner satisfaction

Tech stack

Frontend: React Redux D3.js
Backend: Node.js Express.js
AI engine: Python Flask Scikit-learn
Database: PostgreSQL
Infrastructure: Heroku AWS S3

Frequently asked questions

Upon entering each course, the learner takes a diagnostic assessment covering key domain skills. The algorithm uses item response theory (IRT) to position the learner on the skills graph and identify their gaps.

Yes. The platform is designed for a large number of learners in parallel. Each user follows their own adaptive path, which evolves with their interactions with the content.

A traditional LMS gives everyone the same fixed path. An adaptive solution analyses the learner's results in real time and adjusts content, difficulty and recommendations accordingly.