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  • šŸ‘‹ Hi, Iā€™m Engineer Karim Mohammed Aboelazm
  • šŸ‘€ Iā€™m interested in Programming , Designing
  • šŸŒ± Iā€™m currently learning python , Django , Webdevelopment , Machinelearning
  • šŸ’žļø Iā€™m looking to collaborate on Django
  • šŸ“« How to reach me [email protected] , [email protected]
  • šŸ“ž +201278789685

KARIM ABOELAZM's Projects

abnormal icon abnormal

# Abnormal-Human-Activity-Detection With the increase in the amount of anti-social activities taking place in the environment, security has been given the utmost importance lately. Therefore, organizations require a constant monitoring of people and their interactions. Since this constant monitoring of data by humans to judge if the events are abno

abnormal2 icon abnormal2

abnormal behavior detection using CNN and RNN

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

cloud-data-analysis-at-scale icon cloud-data-analysis-at-scale

[Course-2020-2022] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Computing for Data Science.

covid-19-detection-flask-app-based-on-chest-x-rays-and-ct-scans icon covid-19-detection-flask-app-based-on-chest-x-rays-and-ct-scans

COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.

django icon django

The Web framework for perfectionists with deadlines.

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