23 The Intelligent Learning Assistant for Junior Developers PFE

Project overview:

• The Intelligent Learning Assistant for Junior Developers is a mobile application that supports beginners in their development journey.
• The goal is to make learning structured, effective, and engaging while preparing users with practical skills.

Objectives & key features:

• Personalized learning plan with AI-generated lessons and code examples tailored to the user's level.
• Automatically graded exercises and quizzes, progress tracking via a dashboard, and gamification elements (XP, levels, badges).
• An interactive AI assistant capable of answering questions and guiding the user to enhance motivation and learning outcomes.

Technologies & architecture:

• Mobile frontend: React Native (TypeScript).
• Backend: NestJS (Node.js) with REST or GraphQL API.
• Data/storage: PostgreSQL and MinIO.

Responsibilities & expected deliverables:

• Design and implement mobile UI/UX flows for personalized learning plans and interactive exercises.
• Integrate AI components to generate lessons, code examples, and provide an interactive assistant; implement automatic grading and progress dashboard.
• Develop and consume backend APIs (REST or GraphQL), ensure database integration, and handle file/object storage with MinIO.

Required profile and position details:

• Engineer profile / Bachelor’s degree expected.
• 1 Trainee (PFE) position available.

How to apply:

• Apply via the trainees platform: https://trainees-platform.proxym-group.net
• Email applications are not provided on the page; use the platform link above to submit your application.