Sarah Hesham's Projects
C++ Code to apply Assembly Instructions in Visual Studio.
Assembly Programs written by flat assembler Intel-X86 CISC .
Assembly Programs using MARS application for MIPS RISC .
Augmented Reality based on Ray Cast Technology and using Unity, C#.
Appling R coding on the medical data from a given file data.csv, which is a dataset of a patient demographic containing standard information regarding individuals from a variety of ancestral lines.
Using VMD and NAMD for molecular dynamics simulation of protein PDB files.
C Sharp Script for Biophysics Simple Molecular Dynamics Simulation with RMSD Calculation.
Bio Python Project using getopt library in python and engaging with the command line prompt.
Using HTML, CSS, JS, PHP and USBServer to build a biological server that provides many biological utilities.
Bio Statistics R Coding Using Dataset AntiProfilesData Genomics Data Structure Processing.
Brain Tumor detection model built using CNN and deployed with accuracy 93.02% .
Implementing Position Specific Scoring Matrix (PSSM) Algorithm using Python for computational biological tasks.
Computer Graphics built using Win32 Desktop Applications with C++. Depends on input taken from mouse clicks. Building computer graphics from scratch using mathematical equations and problem solving with C++. Implementing the most famous computer graphics algorithms from scratch.
Face Drawing using C++ based on Computers Graphics Theories using Win32 Desktop Applications
Graphics2D_Win32_Desktop_Project Simple Drawing Application Based on Mathematics and Problem Solving with C++
A python model built on google.colab, where data was installed from kaggle.com and it contained images of corona virus, pneumonia (lung disease) and normal images , the task was to classify these images and I used CNN, the accuracy was 95.45% .
Using K Means and R Language, K-Means algorithm applied the elbow method to get the optimal k, which is equal to 7.
C++ implementation of Data Structures from Scratch.
Car Trading Data Base with C# Forms Implementation.
Data Analysis for Genomics, De Bruijn Graph Chain Merging Compacting.
Data Analysis for Genomics, De Bruijn Graph for Genome Assembly.
Health Care System with GUI Based on Deep Learning and Images Classification
Molecular docking is one of the molecular modeling methods that predicts the preferred orientation of one molecule (ligand) to another (receptor) when bound to each other to form a stable complex (lowest energy state).
Unity and C# for Game Programming.
Data Analysis for Genomics, Euler Path for Genome Assembly.
Data Analysis for Genomics, FASTQ File Structure and Analysis using Python.
Virtual Reality using Unity and C# .
Using HTML, CSS and JS to build a simple form.
SVM model for heart diseases prediction using python with accuracy 96.6%
Matrix Multiplication with Pointers and C++ .
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent