My role
Final-year research project at Institut Polytechnique de Paris, as documented in the software engineering CV.
Machine learning & researchAcademic project
Explainable sensor placement
An end-to-end ML and explainable AI system for wireless IoT sensor placement.
PythonFastAPIMachine LearningXAISimulation
Interface redesign concept based on supplied application screenshots. Illustrative data.
Approach & contributions
- Created a Python simulation application and automated dataset generation.
- Developed a FastAPI backend and web interface for prediction and fitness evaluation.
- Presented explainable AI visualizations to help interpret placement predictions.
Current status
Built an end-to-end research system combining simulation, prediction, fitness evaluation, and explainability. The interface is a redesigned concept based on the supplied application screenshots; charts illustrate the analysis tools and do not assert new research results.