Amar Arslaan's repositories
a2zarslaan.github.io
A mobile first and responsive static website displaying my previous graphic design projects. Uses Bootstrap V3.2 for styling and interactivity, hosted on Github Pages.
digishelf
Landing page for a creative development studio
gatsby-starter-sasslan
A minimalistic Gatsby starter template featuring SASS and CSS 7-1 architecture.
chat-app
A real-time chatroom web application which features four chatrooms by default, which the users can access and post messages in.
epic-react
A collection of the code exercises from the epic react workshops
trillo-booking-app
This project aims at developing a responsive, desktop-first e-commerce website of a tour provider from scratch, using SASS.
touragency
A mobile first and responsive e-commerce concept website of a tour company from scratch, using Vanilla CSS. No Javascript is used in this project, even for animations.
cityman
A mobile first and responsive web application with a decentralised and distributed architecture for managing Dublin Bikes, Dublin Bus and Luas.
seedhe-maut
E-Commerce website built using React and Google Firebase.
awesome-github-profile-readme-templates
This repository contains best profile readme's for your reference.
facebook-2.0
🔋 Next.js + Tailwind CSS + TypeScript starter packed with useful development features
corona-tracker
This project aims at displaying real-time updates of the number of Covid-19 cases worldwide. Further, it features Charts.js for charts and Material UI along with CSS modules for styling.
gatsby
Build blazing fast, modern apps and websites with React
weather-app
A weather application developed using vanilla Javascript (ES6), which pulls latest weather data from Accuweather API. The project implements the concept of local storage to remember the last city the user searched for, and displays the latest weather data for that city whenever the page is refreshed.
quiz
A simple quiz application developed using vanilla Javascript (ES6), implements DOM manipulation using JS to create a light quiz.
todo
A simple todo application developed using Vanilla Javacript
opencv-implementations
Using OpenCV, the following six Computer Vision techniques were implemented - Edge Detection, Object Tracking, Face Detection from Image, Face Detection from Camera Input, Contour Detection and Color Tracking.
fashion-mnist
Implementation of fashion component classification using the Fashion-MNIST dataset. The dataset consists of 60k train and 10k test grayscale images of size 28X28. This work is an extension of the code provided in the first lab assignment called mnist.py; and has been implemented in Visual Studio Code Editor.
uninest-interactive-poster
Augmented Reality based interactive posters developed for Uninest Residencies Ireland.
portfolio-coming-soon
A coming soon page for when my portfolio website was under development