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image-preprocessing

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Implement an intelligent diagnostic system capable of accurately classifying cardiac activity. By analyzing ECG images or electronic readings, the system aims to detect various abnormalities, including distinguishing normal vs. abnormal heartbeats, identifying myocardial infarction (MI) and its history, and assessing the impact of COVID-19.

  • Updated Jun 20, 2024
  • Jupyter Notebook

This program enables real-time face recognition for attendance marking. It uses a webcam or video input to detect and recognize faces in real-time. When a recognized face is identified with sufficient accuracy, the corresponding name is recorded in an attendance file named Attendance.csv, along with the timestamp of the recognition.

  • Updated Nov 14, 2023
  • Python

In the project, it is related to the identification of radiological photographs in which tuberculosis patients are diagnosed. Among the main challenges in this project are data imbalance and data preprocessing and implementing deep learning models to solve it.

  • Updated Nov 5, 2023
  • Jupyter Notebook

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