Soliman Ali's Projects
30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace.
A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory
👨💻 Computer Security algorithms in C#
This Repository contains DevOps Projects and Tools Documentation step by step practice
Face login using face recognition by Open CV Python
Face Recognition With GUI. Recognize Faces from Webcam, Stored Images, Video file,You can Manually set the Accuracy(Tolerence), and option to Generate Database from Webcam or Images Stored Locally.
GUI made by python library "tkinter " to play video files, detect human face, and save detected face as a video file.
gui simple for encryption and decryption data by some algorithm encryption and decryption like caesar , playfair ,hill cipher , vigenere cipher ,rail fence ,RSA , Diffie–Hellman key exchange Algorithms
AI application that can classify medical text according to the category of the ailment being described.
Tutorial for applying machine learning to text data within healthcare
Predict hospital readmission with discharge summaries
Tracking objects and Face with OpenCV and Python
An eCommerce website template built with HTML, CSS, and JAVASCRIPT.
this test for git repo
simple Area App python program do the following -The user is asked for an area type -if 't' for triangle ,'r' for rectangle , 'c' for Circle ,'s' for Square -user can choise , 1 : For Try Again , 2 : For Exit From App -problems will be triangle , rectangle , Circle and Square
Tutorial: Support Vector Machine from scratch using Python3
Project make some feature in menu using whiptail Features by using whiptail in bash script make menu and the change affect in real system .
This repository contains the deployment and service files for a web app built with HTML, CSS, and JavaScript and deployed using Kubernetes.
reate Dockerfiles for both the API and Client, and a Docker Compose file at the root directory to orchestrate the services. The API should connect to a MySQL database, and an Nginx web server should act as a proxy forwarding requests to the Client.