Money Tracker is a native Android app developed in Java that allows you to track your expenses across various categories and monitor the progress of your finances. The app provides an intuitive interface to log transactions, categorize them, and analyze your spending habits over time. Money Tracker will be released on the Play Store for free as soon as development is complete.

MyPassLock is a native Android app developed in Java that allows you to manage passwords offline. The app uses biometric recognition to access and consult saved credentials.

MyPortfolio is the web portfolio you are viewing right now. It includes a summary of my skills, projects, and work experiences. The portfolio is continually updated to enhance its usability and to experiment with new ideas.

TrackingMyPantry is a native Android app developed in Java for the mobile applications course project at University. It's designed to manage the products in your pantry, providing notifications close to their expiration dates. The app utilizes the camera to take photos and recognize products by scanning their barcode.

KeyLogger is a python script designed to monitor keyboard inputs, logging every keystroke into a designated log file.

F1DataScraping is a Python script developed to download race weekend session results from F1 public Website and save them as CSV files on the filesystem. In addition, there is an additional script to recalculate the results of a specific year, allowing for completely customized scoring metrics.

Non Gravitar is a C++ 2D videogame for the programming course project at University. The project is inspired by the famous Gravitar videogame from Atari and it was a collaborative effort that included contributions from Matteo Pintaudi and Matteo Leoncini.

TwitterTracker is a Java desktop application for the software engineering course project at University. It consists of real-time monitoring of tweets, including the ability to locate them on a map when possible. The application allows users to analyze tweets and identify the most frequently used words in a specific geographical area. The development team also included Lorenzo Tomesani, Matteo Pintaudi, Lorenzo Castelli, and Enrico Sallei. My role was that of both developer and Scrum Master.

Mystery at the museum is a university project developed for the "Web Technologies" course. It includes a server built with Node.js and three web apps:
Player, where users solve puzzles and riddles to progress through stories;
Validator, which monitors players' progress, assigns points, and offers hints via chat if they get stuck;
Creator, which allows for the creation and management of stories. Michael Valmori, Erdisona Miftari, and Elisa Rubini also took part in the project.