102 Post-Operation Follow-Up App PFE

Project overview

• Mobile application to connect doctors and patients for post-surgery monitoring.
• Focus on continuous care: tracks recovery progress, medication reminders and multiple health parameters.

Key features

• AI-driven detection of abnormal recovery patterns with instant alerts to healthcare providers.
• Secure patient–doctor communication channel and access to personalized advice.

Technical stack & required skills

• Required technologies: Flutter (mobile frontend), Firebase (real-time DB/auth/notifications), Node.js (backend/API).
• Expected skills: mobile UI implementation, REST/Realtime API integration, authentication, push notifications, basic ML/AI integration or interfacing with ML services.

Responsibilities & tasks

• Implement and polish the Flutter mobile client (UI, forms for vitals, medication reminders).
• Integrate Firebase services (authentication, realtime database / Firestore, push notifications) and connect to a Node.js backend for business logic and alerts.
• Implement or integrate AI module to analyze health parameter streams and raise alerts for abnormal patterns.
• Ensure secure communication and privacy best practices for patient data.

Expected deliverables

• Functional Flutter app for patients and a simple provider interface/flows for doctors.
• Backend Node.js services and Firebase configuration supporting authentication, data storage, notifications and AI-alert pipeline.
• Documentation: setup, architecture overview, and testing notes; demo showing monitoring, reminders and alerting flows.

Duration & trainees

• Duration: 4-6 months.
• Number of trainees: 1 PFE.

How to apply

• Apply using the project form: Apply here
• In your application, highlight relevant Flutter projects, backend experience (Node.js/Firebase) and any exposure to ML/AI for anomaly detection.