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Įgūdžiai
Patirtis
Academic Project - Automated Classification of ECG Images
New Mansoura University
2025-01 - 2026-06
Collaborated in a four‑student team to develop a Python desktop prototype that classifies ECG images into four clinical categories. Handled an academic dataset of 11,148 labeled images, performed image preprocessing and model evaluation, and produced structured technical documentation and PDF reports. Integrated a user interface for image upload, prediction display with probability scores, and downloadable reports. Utilized Python, CSV datasets and basic data visualization, contributing to the project's successful demonstration.
Išsilavinimas
Bachelor's Degree in Biomedical Informatics
Kalbos
Arabic
native
English
intermediate
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