Description of the projects (Programming languages ; Date)
During my years as a Computer Engineer I have taken part in many projects — in groups or on my own. The most important ones can be found in my GitHub repositories.
I created a mobile application that shows points of interest (POI) to its users. This allows users to navigate while using the camera without the hassle of looking into a 2D map. You can download the app and try it yourself: here.
Ever wondered if your name sounds "young" or where in the world it's most popular? I created a mobile application that uses Machine Learning to decode the characteristics behind any name. The app predicts the likely gender, year of birth and ethnicity of a name with AI-powered insights, shows exactly how many people were born with your name each year, keeps you up to date with the "Top Trending Names" through global leaderboards, and even maps your baby's desired personality to their name. You can download the app and try it yourself: here.
We created an e-commerce mobile application called "DIMA e-Shop" with a minimalistic design look in which the main buying point is the picture of the product. The application sends orders and payments to a backend server. The code can be found in the following link.
For my thesis I had to implement a new faster algorithm to find Skyline queries in Big Data in the fastest way possible. I designed a new method that would find the queries in less than half the time of the fastest query ever designed until then. The code can be viewed in the following link.
We had to document the implementation of a website and develop a fictitious ICT company called Hatgemini. I was in charge of the back-end, employees and articles web-pages. All the people inside the website are fetched through an API and stored in the database. Furthermore I had to implement the chatbot which provides an initial guidance to the structure of the website. Check the documentation for more information in this link. The server is down and not in use anymore.
We designed and implemented a software prototype for a social distancing application. The software sends a notification to the owners' phones after continuous proximity to one-another. This project uses TinyOS to create the IoT nodes and their payloads, requires Cooja to simulate (or any similar program) and finally uses Node-RED and IFTTT to communicate with mobile-phones. The GitHub repository can be found in this link.
We had to create a working Webserver to handle submissions of reviews of videogames that the user had played and creating a leaderboard with the top 10 games of all time. The code can be found in the following link. The server is down and not in use anymore.
As one of the last projects of my Bachelor's degree we had to recreate a pre-existing game called Santorini in which people take turns to move their workers and build different levels of buildings. All this with the purpose of climbing up to the third floor of a building as to win at the game. The game is playable both in CLI-mode (Command Line Input) and GUI (Graphical User Interface). This was one of the most enjoyable projects that I have been part of. Below are some screenshots of the game, in order from left to right (GUI): 1- the game connection, 2- input request to choose a worker, 3- input request to move a worker.
Based on the Working-Zone Encoding Protocol, which saves on energy-consumption on microcomponents, we had to code the electronic part which would take care of the encoding. This is all described with great detail in my VHDL repository although it is only in Italian. For a brief description of how it worked: I implemented a finite state machine which would request from the RAM-memory the data in all the addresses, and would then find if the data belonged to one of the Working-Zones or not, flagging it to the RAM and storing it as well.
The request was to store, delete and search accounts — and relationships between these accounts — with certain criteria (such as accounts with the highest number of friends) in a timely manner. This individual project showed students why time-complexity and space in memory are highly important topics to tackle every time you build an algorithm. The abstract data types I implemented to save all the information and get it back in as little time as possible were: "separate chaining hash-tables" to store the names of accounts as well as red and black trees for the information of the numbers of relationships.