🎓 Digital Health Engineering Student | AI in Healthcare | Clinical Data & Decision Support
I am a Digital Health Engineering student at UM6SS, passionate about applying Artificial Intelligence and Data Science to healthcare systems.
My main interests include:
- Clinical data analysis
- AI-based medical decision-support systems
- Healthcare software optimization
I aim to contribute to impactful e-health and AI-driven healthcare solutions.
- Python
- Machine Learning
- Deep Learning
- Scikit-learn
- TensorFlow
- PyTorch
- MySQL
- PostgreSQL
- MongoDB
- React.js
- Node.js
- Leaflet.js
- Hadoop
- Spark
- Kafka
- Git & GitHub
- Docker
| Project | Description | Technologies |
|---|---|---|
| NeoCareAI | Intelligent solution for predicting pregnancy risks using clinical data | Python, HTML/CSS, Machine Learning (Scikit-Learn), Deep Learning (TensorFlow/Keras) |
| HAYATCare | Monitoring and assistance platform for elderly patients | Python, Deep Learning (TensorFlow/Keras), Digital Twin, LLM & Gen AI |
| MedTracker | Application for managing drug side effects | Database Systems, HTML/CSS, JS |
| RadioProtection-WebApp | Radioprotection Chatbot based on Moroccan AMSSNuR source and interactive map for radiology centers | RAG, Gen AI, Django, React.js, Leaflet.js |
📧 saad.elmir2020@gmail.com 🔗 LinkedIN: https://www.linkedin.com/in/saad-el-mir-74156023b/