Mohamed Shebl's repositories
Documentation-System
This app is where you will store your Software Development Life Cycle Documentation. This application includes some common phases of software development: Project Initiation, Planning, Requirements (Analysis), Design, Development, Testing, Deployment, and Maintenance.
Basic-Chat-App
This is a basic chat app that allows users to chat with each other in real time. It is built using Node.js, Express, and Socket.io.
Eary-System
Eary helps people check their hearing problems.
Information-Retrieval-System
This is a simple information retrieval system that can be used to search for documents in a corpus. The system is based on the positional index data structure. The system is built using Node.js and Express.js. The system is built as a part of the course CS F313 Data Storage and Retrieval at Helwan University Software Engineering program 2023/2024.
Adosh74.github.io
My blog
Advanced-Node.js
Explain node.js internals.
The-Journey
The Journey is a tour booking website that allows users to book tours and manage their bookings. It is built using Node.js, Express, MongoDB, and Pug.
Auth-using-OTP
Auth-using-OTP is a project developed using Node.js, Express, and Sequelize. It provides an authentication system with OTP (One-Time Password) functionality. The project includes APIs for user registration, login, and verification.
Coder-Square
Hacker News Backend APIs
CronJob-Pdf-and-QRCode-with-Node.js
Simple project to generate a PDF and a QRCode with Node.js
dot
Safe and sound, and up to date.
Express-With-GraphQL
This is a simple project to learn how to use GraphQL with Express.
mazrealty.live
MAZ Realty is a real estate based in Egypt. The application based on client/server architecture, where the client is a web browser and mobile devices, and the server is a Node.js server. The server is responsible for serving the client with the website's content and handling the requests from the client.
Property-Price-Prediction
This is a project to predict the price of a house based on the features of the house. The dataset used is the USA_Housing dataset which is available in the kaggle.
real-estate
Graduation project