Serenata de Amor is a Brazilian open-source project using AI (Rosie) to analyze public spending, specifically the CEAP (Cota para Exercício de Atividade Parlamentar) of federal deputies and senators. It identifies suspicious expenses, flagging them for further investigation. The data is visualized through Jarbas, a supplementary tool aiding investigative work. The project relies on a global community of volunteers and is financially supported through crowdfunding. It aims to improve transparency and accountability in public spending.
• provides data visualization tools
• analyzes public funds usage
• identifies suspicious spending patterns
The name is inspired by the Toblerone case, where a politician resigned after using public funds for a candy bar. It sounds like a Federal Police operation, and it's a 'Serenata de Amor' (love serenade) for Brazil.
A group of tech enthusiasts. Started by data scientist Irio Musskopf, it now has a 10-person team and hundreds of volunteers.
The team is spread across different cities and countries, using technology for remote work.
Open source means the code is publicly available for anyone to contribute to, making the tool free for everyone.
Public data from sources like the Law of Access to Information, Google, Foursquare, the Chamber of Deputies, and data.gov.br.
A monthly allowance of up to R$ 45,000 for Brazilian federal deputies to cover expenses like meals and transport, without bidding.
Rosie identifies suspicious spending patterns, while an investigation is needed to confirm if it's irregular. Irregular spending violates norms.
Parlimentarians frequently switch parties, making party-based indices difficult. The focus is on information, not witch hunts.
Contact via the Facebook page, email, or GitHub (for technical issues).
An open Telegram group (currently in English).
To include contributions from a global community, and because many international individuals have shown interest since the beginning.
Jarbas is a tool to visualize the data processed by Rosie, assisting investigative work.
Rosie is a robot programmed to find suspicious uses of public funds, starting with CEAP.
Rosie is a program that automatically analyzes data, applies algorithms, and identifies suspicions.
Contribute with code, support the team financially, share ideas, or retweet. See GitHub for coding contributions and Apoia.se for financial support.
There are currently no job postings for this AI tool.
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