Ben Abdelkader Yasmine

During my summer internship, I participated in the development of an AI-assisted medical collaboration web application. I contributed to: - Design and implementation of the frontend and backend using React/TypeScript, FastAPI, and MongoDB. - Integration of a multimodal AI medical assistant for clinical case analysis and decision support. - Preparation of the internship report, documenting methodology, implementation details, and project outcomes.

Worked on developing AI agents to automate business processes and improve efficiency using modern automation tools. - Developed AI agents for automation of tasks and processes. - Designed and implemented automation workflows using n8n. - Configured multiple APIs and integrated various tools for seamless automation. - Implemented a RAG (Retrieval-Augmented Generation) system to enhance automated processes.

During my internship, I worked on developing and fine-tuning deep learning models for the automatic segmentation of coronary arteries from medical X-ray angiography images using the ARCADE dataset. My main contributions included: - Implemented and fine-tuned YOLOv8/YOLOv9, Faster R-CNN, and U-Net for segmentation and detection tasks. - Performed training, optimization, and performance evaluation, including visualization and analysis of metrics to improve model results. - Authored a scientific report detailing the methodology, results, and research perspectives.

- Developed a full-stack marketplace platform to sell artistic products. - Designed and implemented responsive user interfaces and backend services. - Built and maintained features using ReactJS, Node.js, Express.js, and MongoDB. - Contributed to system design and UML modeling, including class and sequence diagrams. - Integrated frontend, backend, and database components, including authentication services.

- Exploration du Big Data, de la Sécurité et de la Business Intelligence. - Réalisation d'un projet captivant : création d'une base de données MongoDB pour le projet "e-Health". - Préparation aux défis futurs dans le génie logiciel et l'intelligence artificielle. - Capacité à contribuer à des projets innovants.