CASE STUDY

ENT EST Salé

Web Platform • AI Solution

Project Overview

Next-generation Digital Learning Environment built on microservices architecture with AI-powered personalization.

Context & Challenge

Traditional university management systems are monolithic, difficult to maintain, and lack modern features. Students and faculty need integrated tools for academic management, communication, and personalized learning support.

Client Objectives

• Build a scalable, maintainable microservices architecture
• Integrate AI tools for personalized learning recommendations
• Provide unified access to academic resources and services
• Enable seamless communication between students and faculty

UX Research & Architecture

Workshops with students and faculty identified key pain points in existing systems. We designed role-based dashboards providing relevant information and quick access to frequently used features.

UI Design & Design System

Modern, professional interface with clear information hierarchy. Consistent design language across all modules ensures intuitive navigation. Accessibility compliance for inclusive access to all users.

Development & Technologies

Spring Boot microservices communicate via REST APIs and message queues. React frontend consumes services through an API gateway. Docker containers orchestrated with Kubernetes for high availability. AI features powered by OpenAI API integration.

Tech Stack: Spring Boot, Microservices, React, PostgreSQL, Docker, Kubernetes, OpenAI API, JWT Auth

Results & Business Value

• Modular architecture enabling rapid feature deployment
• AI-powered study recommendations improving student outcomes
• Reduced administrative workload through automation
• Scalable infrastructure supporting growing user base