Operação Serenata de Amor is an open civic tech initiative that applies machine learning and data science techniques to analyze Brazilian government spending records. The project aims to automatically flag suspicious expense claims by politicians for public scrutiny. Built with Python, it involves data scraping, preprocessing, and training models on congressional reimbursement records to identify patterns indicative of fraud or misuse of public funds.