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Abdullah Ibne Atiq's Projects

arabic-sarf icon arabic-sarf

This repository features a collection of Sarf (صرف - Arabic verb conjugations) and a simple UI to navigate through the various verb forms

blog-backend icon blog-backend

A full stack application to save blogs, built to learn React and NodeJS. It features interacting with a MongoDB database, user authentication, testing and continuous integration through Vercel.

blog-frontend icon blog-frontend

A full stack application to save blogs, built to learn React and NodeJS. It features interacting with a MongoDB database, user authentication, testing and continuous integration through Vercel.

data-visualisation icon data-visualisation

A collection of charts to visualize and interpret data from a fictional company. This work was produced for my undergraduate module COMP1817 Information Visualisation and Big Data.

jekyll-portfolio icon jekyll-portfolio

A minimal Jekyll portfolio template. It has now been replaced by https://github.com/abdullahibneat/next-portfolio

next-portfolio icon next-portfolio

A portoflio website to showcase your software projects. Built with NextJS + TypeScript + Sanity Headless CMS

notetakingapp icon notetakingapp

A Java project, the idea is for University students to be able to take notes while in lectures, organised by course modules.

p2p-chat-room icon p2p-chat-room

A Java peer-to-peer chatroom where people can send messages and communicate with each other

pointar icon pointar

Assist an employee induction process with Augmented Reality.

projectmanagement icon projectmanagement

A program written in Java, Kotlin and Scala to manage projects and identify the critical path for a given project.

root-finder icon root-finder

A Java application to find the roots of a function f(x) using prescribed numerical methods and data structures.

safarianimalsar icon safarianimalsar

A simple Augmented Reality game I made to get into Augmented Reality using Unity and Vuforia.

tableextraction icon tableextraction

A line-based framework to detect and extract tabular data in JSON format from raster images using computer vision and Tesseract OCR.

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