This repository contains notes from my learning Journey to be a reference for any information that I'd need at any time

My Github Profile

A web application for hotel management system, Allowing employees to manage everything about hotel bookings, cabins, and guests.

MERN Stack Application for tracking Job Search Process

Tours booking website, where users can browse tours, book tours, and pay for them using stripe payment gateway. It's a full-stack project, built using the Node.js.

Landing Page with HTML & CSS (SASS)

A clone of websites like Flat UI Colors and Material UI Colors.

E-Commerce project was done with Vanilla Javascript

React App that lets people view and vote on cheesy jokes from icanhazdadjoke API

music app using vue.js

Google Careers website Clone for finding jobs

App where users can register as coaches or contact registered coaches.

small app that consists of 3 pages (login. Welcome, 404) pages using vue.js

Full Stack E-Commerce Clothing shop made using React & firebase with Stripe payments implemented.

Landing Page using React and Bootstrap.

courses that I've taken from LinkedIn Learning

NASA dashboard app for managing and monitoring spaceflights to habitable planets in the observable universe.

Projects and notes from udacity Advanced Full-Stack Web Development nanodegree

taking a developed full stack application and deploying it to a cloud service provider so that it is available to customers. This application contains the main components of a 3-tier full stack app…

Forkify is a recipe web app that allows users to search, view, modify, bookmark and add recipes.

workouts logging page for Cycling and Running using map from "Leaflet library"

Notes and Labs from A cloud Guru - AWS Certified Cloud Practitioner (CLF-C01)

Small projects I'm doing while learning Javascript

Landing Page for a technology company with a major focus on consumer well-being through a healthy diet by using an AI-centric approach.

NLP model to classify abstract sentences into the role they play (e.g. objective, methods, results, etc..) to enable researchers to skim through the literature and dive deeper when necessary.

Building Food Vision™, using all of the data from the Food101 dataset and EfficientNetB0 model. The goal is to beat the results of DeepFood**, a 2016 paper which used a Convolutional Neural Network…