M2 Internship - Design and Development of a Web Platform for AI-Driven CPAP Personalization and Adherence Management
Internship period: Feb to July / 2026
Required profil: M2 / Engineer in Computer Science
Internship Mission Description (see full description in the attached file)
The mission of the internship is to create, deploy, and test the core web application, which would bring together various modules of the AI-driven CPAP personalization system. Clinicians, technicians, and researchers can use this web platform as the main user interface where they can see the patient paths, track therapy indicators, review interventions, and comprehend AI-driven insights. The intern will begin his work by examining functional requirements based on real-life analysis of homecare operations, defining user roles (technician, physician, analyst), diagramming the flow of data at the AI backend, and defining the form of each dashboard tab (CPAP, Interventions, Medical Surveys, Digital Biomarkers, Reporting, Coaching Videos, Help).
The mission will then evolve into full-stack development, focusing on:
- Building responsive and modular dashboards in React + TypeScript, ensuring seamless integration with REST or GraphQL APIs;
- Implementing reusable data visualization components (usage trends, biomarker evolution, adherence alerts) using libraries such as Recharts or Plotly;
- Simulating real-time data ingestion from CPAP and wearable sources through mock APIs to reproduce the conditions of an operational deployment;
- Incorporating AI outputs (patient phase classification, dropout risk score, dynamic recommendations) with clear and transparent visual encoding;
- Establishing a secure and compliant environment: authentication, role-based access control, and data anonymization aligned with GDPR standards.