Projects

Predicting the European Central Bank (ECB) interest rate using Machine Learning (ML) techniques on economic indicators 

Predicting the ECB interest rate is vital for various stakeholders in financial markets, including investors, traders, and policymakers. Understanding how economic indicators influence interest rates can help in making informed decisions regarding investments, borrowing, and monetary policies.

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Traffic Sign Recognition using Machine Learning (ML)

Traffic Sign Recognition (TSR) is a critical component of advanced driver assistance systems (ADAS) and autonomous vehicles. This project focuses on using Machine Learning (ML) techniques to develop a system capable of automatically detecting and interpreting traffic signs from a large dataset.

LLM for notary documents

This project focuses on fine-tuning a pre-existing LLM to generate legitimate contracts given a format resembling the track of the Notary Italian Exam. The goal is to automate and streamline the contract creation process while ensuring legal compliance and adherence to the Notary Italian Exam guidelines.