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mo-gaafar/README.md

Hello!

I am Mohamed Nasser, people call me Nasser, currently pursuing my masters degree majoring in bionics and neuroengineering at Scuola Superiore Santanna, Biorobotics Institute. I am a tech enthusiast & an open-source advocate. I am always open to collaborating on projects and innovative/disruptive ideas. Find out more about me & feel free to connect with me here:

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⚡ Technologies

Python MATLAB MongoDB C# C++ Embedded C JavaScript R HTML5 CSS3 Bootstrap MySQL AWS Docker Kubernetes Microsoft Azure Heorku Google Cloud API Git GitHub OpenGL Unity LUA ROBLOX Blender

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  1. image-processing-toolbox Public

    A python based medical image processing toolbox, with image manipulation features ranging from histogram equalization, affine transformations, scaling to spatial and frequency domain filtering.

    Python

  2. mini-music-workstation Public

    A miniature digital audio workstation that can modify and equalize musical signals or create its own music

    Python 3 4

  3. app-with-autodeploy-superpowers Public

    Capstone project for AWS cloud devops, has a fully automated CI/CD pipeline utilizing CircleCI and CloudFormation API

    TypeScript

  4. blind-assistance-deep-learning Public

    Aiming to transform the lives of visually impaired individuals by enabling them to understand and interact with their environment more effectively.

    Jupyter Notebook

  5. CGM_Prediction_LSTM Public

    Forked from JakubDylag/CGM_Prediction_LSTM

    Machine Learning based Prediction of Glucose Levels on Type 1 Diabetes Patients with the use of Continuous Glucose Monitoring Data.

    Jupyter Notebook 1

  6. deep-retinal-classification-python Public

    Forked from mawady/DeepRetinalClassification

    3-Class Retinal Classification via Deep Network Features and SVM Classifier (Academic Research Use). Reimplemented using python

    MATLAB 2

564 contributions in the last year

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Activity overview

Contributed to mo-gaafar/vr-bci-companion, mo-gaafar/mo-gaafar, invesalius/invesalius3 and 8 other repositories
Loading A graph representing mo-gaafar's contributions from March 17, 2024 to March 23, 2025. The contributions are 95% commits, 2% pull requests, 2% issues, 1% code review. 1% Code review 2% Issues 2% Pull requests 95% Commits

Contribution activity

March 2025

mo-gaafar has no activity yet for this period.
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