Hadrich Abderrahmen

Developed a deep learning approach for medical image reconstruction, focusing on improving image quality using convolutional neural networks (CNNs). The work involved preparing and preprocessing medical image datasets, designing and training reconstruction models, and applying optimization techniques to enhance output accuracy.

Designing,developing, and maintaining dynamic and responsive websites Collaborating with cross-functional teams to implement front-end solutions, optimize user interfaces, and integrate APIs

Guided young learners of diverse age groups in mastering Python, focusing on both general programming and data science applications. Provided hands-on training to build foundational skills and specialized knowledge.

Subject: Burn Segmentation and Degree Detection using Deep Learning. Required Work: Data preparation, Data preprocessing, Development of a model, ..., Application development.