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Competences
Experience
Automated Classification of ECG Images Using Deep Learning Techniques
New Mansoura University
2025-01 - 2026-12
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 ECG images, performing data preprocessing, CSV label management and ensuring organized, accurate data handling. Contributed to model evaluation, technical documentation, and generation of PDF reports with predicted classes and probability scores. Integrated a user interface for ECG uploads and result visualization, supporting the project's research objectives.
Formation
Bachelor's Degree in Biomedical Informatics
Langues
Arabic
native
English
intermediate
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