Simone Zacchetti

This project involved the use of a dataset of recipes to apply various Natural Language Processing (NLP) techniques, from the easiest to the most advanced. We performed different preprocessing techniques, clustering, classifincation, and even implemented a simple chatbot exploiting different models, including LLMs, text-to-image, text-to-speech and speech-to-text.

AI Study is a web application designed to revolutionize learning by combining powerful AI tools and proven cognitive tactics. Its objective is to ensure that the knowledge you acquire sticks with you long after exams are over, fostering durable and usable understanding. The demo is developed in Python, all in a single .ipynb file, exploiting open-source models from Hugging Face and gradio library for the UI.

Project is focused on creating deep neural networks for image classification of healthy and unhealthy leaves and time series forecasting.

It involves the implementation of an efficient algorithm for an elaborated minimum distance problem, capable of respecting time and space complexity constraints.

This project involves the development of a web application for the board game My Shelfie. It is implemented in Java, using the MVC architecture, exploiting the Socket and RMI architectures for the network infrastucture. It has some advanced features such as the capability of managing multiple games at the same time, and the disconnection resilience.

Implementation of a hand tracking system using Arduino and Python able to recognise through webcam how many fingers are raised and turn on the same amount of LEDs.

Implementation of a hardware component using VHDL language.