Software Development

In 2022 I did my second degree but this time in Software Development. It was a Higher Diploma in Science in Computing (NFQ Level 8). I was named to the Dean's Honours List for the class of 2021-2022, and my overall honors grade was 86.6%. All subject were very interesting, but especially those requiring coding. I had a subjects such as: Java Software Development, Web Design, Databases, Object-Oriented Software Engineering, Computer Architecture, Operating Systems and Networks, Algorithms and Advanced Programming, Data Structures and Distributed Systems. As a final project built travel application that used modern technology.

SmartLuggage – The Application for Easy Packing

I built an app that makes a packing easy through an easy-to-use smart item allocation system. It allocates items to the appropriate category based on the user's activity and gender. It calculates the weight and number of items in the packed luggage. It allows you to add your own items and delete unnecessary ones. The colors in the app are well thought out and consistent. Google Map API is used to search destination, it allows to find practically every address in the world that is in Google database. Weather API is used to displays the temperature and an icon with the current weather status. The vision system allows the user to add elements using a camera. Application uses a cocoSSD model and Tensorflow.js. User can switch between cameras available on the device. The application is intuitive and uses the latest technology. In addition registration, login and administration panel is implemented.

The Frontend is hosted on Google Cloud. Backend is pushed to the the Heroku. Can be viewed via this link. It can load slowly at first as I use low cost hosting and if the app is not used it goes to sleep.

Vision System

According to the project requirements as an optional requirement is ability to add user items by using the camera. Unfortunately, it was not possible to integrate the vision system into the application. The prototype application was built on an Ubuntu system and written in Python using Open CV libraries and SIFT functions. At the moment it is a separate application. It can be integrated into the main system in the next stage of the project. Application contains in the memory objects which the system recognizes and displays on the screen information what was found. I build training model that allows add an object to the system. System asking the user to take a photo, then the photo is stored in memory, and in the next phase the application is opened and can recognize whether the object is in the database or not.

Setup Environment

I used the instructions posted on pyimagesearch.com to install all dependencies.
Main dependencies installed on Ubuntu 20.04
Python 3.8.2
Open CV 3.4.4

To run the application, I created a bash script as shown in the photo below.

NCI CHESS SOCIETY

In the first year of the course in 2020, I built a website for the chess club. The website was hosted on my private server and can be accessed at this
link. The website was built using, HTML, CSS, Java Script and Bootstrap.

Software Development

SmartLuggage – The Application for Easy Packing

Vision System

Setup Environment

Python code for capture the photo from the user.

Functions used for object recognition.

Video Capturing

Web Design

NCI CHESS SOCIETY