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👨‍💻 About Me :

I'm a Software Engineer from Egypt.

  • ⚡ I possess a deep understanding of the project management lifecycle and am skilled in all elements of it.

  • ↗️ I am a team player with excellent communication skills and a passion for delivering high-quality apps that exceed user expectations.

  • 📱 I have published 3 mobile apps on Google Play Store and App Store that have been downloaded and used by more than 5000 users.

  • 📮 How to reach me ➡️ [email protected]

  • 📁 My Resume ➡️ Click here 🖱️


Programming Languages:

c++  csharp  python  javascript  dart 

Mobile Development:

flutter  android  ios 

Web Development:

html5  css3  bootstrap  React 

Backend Development:

flask  nodejs  mysql  mongodb  firebase 

Artificial Intelligence:

pytorch  tensorflow  pandas  tensorflow 


🔥 My Stats :

GitHub Streak

Top Langs Anurag's GitHub stats

Mohamed Abd El-Monem's Projects

akhbarona-news-classification icon akhbarona-news-classification

Text Classfication Project on an Arabic News Dataset "Akhbarona" from Text Classfication Project on an Arabic News Dataset "Akhbarona" from Single-Label Arabic News Articles Dataset for Automatic Text Categorization (SANAD) - https://data.mendeley.com/datasets/57zpx667y9/2

bee_degree_connect_plus_overview icon bee_degree_connect_plus_overview

Mobile Application designed for children. It makes learning English more exciting and delightful through developing the main four skills of learning; listening, reading, speaking and writing.

bee_degree_primary1_overview icon bee_degree_primary1_overview

Mobile Application designed for children. It makes learning English more exciting and delightful through developing the main four skills of learning; listening, reading, speaking and writing.

bioinformatics-desktop-app icon bioinformatics-desktop-app

Desktop Application using Python and Qt, The App is responsible for doing Pairwise Multiple Sequences Alignment (Global & Local), Multiple Sequence Alignment, Generating Phylogenetic tree, Calculating Percentage of Chemical Components in DNA (A, C, G, T) & RNA (A, C, G, U), Converting DNA to RNA (Transcription), and Converting DNA to Protein (Translation).

bookly_app_overview icon bookly_app_overview

Mobile app integrated with Google Books API that can perform full-text searches and retrieve book information, viewability and eBook availability. You can also manage your personal bookshelves.

brain-tumor-detection icon brain-tumor-detection

Building a detection model using a Convolutional Neural Network in Tensorflow & Keras. Used a brain MRI images dataset founded on Kaggle.

classifiaction-capstone icon classifiaction-capstone

Analysis for the Heart Disease Dataset, by doing some features correlations, going through some quick plot visualizations, analyzing them and getting some conclusions. And then will proceed to apply several ML models to see which yields better results and finishing with Classifier models

financial-sentiment-analysis icon financial-sentiment-analysis

Financial Sentiment Analysis on Kaggle Dataset using differnet NLP techniques such as RNN, LSTM, and GRU - https://www.kaggle.com/datasets/sbhatti/financial-sentiment-analysis

image-characterization-texture icon image-characterization-texture

Create output images corresponding to different texture descriptors. We will then use these descriptors to enhance the Region Growing segmentation algorithm.

image-processing-demo-app icon image-processing-demo-app

It's a Demo Desktop Application which is responsible for performing Image Processing techniques such as: Adding, Removing Noise, Detecting Edges, Filtering, Histogram, Equalizing Images.

image-segmentation-clustering icon image-segmentation-clustering

The goal of this tutorial is to investigate the usefulness of two clustering-based methods namely, Fuzzy C-mean (FCM) and Expectation-Maximization (EM) algorithms

image-segmentation-regiongrowing icon image-segmentation-regiongrowing

The goal of this tutorial is to investigate the effectiveness of the region growing (RG) algorithm for image segmentation. We'll apply the RG algorithm to 2D and 3D images.

regression-capstone icon regression-capstone

Building different regression models on Concrete Data to get best Concrete Compressive Strength

yolo icon yolo

Trying YOLO Algorithm on Images, and Videos.

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