okfn-brasil/serenata-de-amor

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4603 stars · 654 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Operação Serenata de Amor is an open-source data science project that uses machine learning to audit Brazilian congresspeople's public expense reimbursements and flag suspicious spending. It powers Rosie, an AI agent that analyzes expenses and posts findings on social media, and Jarbas, a web interface for browsing the flagged data.

Use cases

• audit brazilian congresspeople expense reimbursements
• detect suspicious public spending with machine learning
• analyze CEAP parliamentary expense datasets
• browse and validate flagged expense suspicions
• build civic tech tools on open government data
• monitor public administration spending anomalies

When to choose

• you want to analyze or audit Brazilian public expense data (Chamber of Deputies, Federal Senate)
• you need an example of applied machine learning for government accountability
• you want to contribute to or extend a civic tech open-data project

When to avoid

• you need actively maintained software - the repo no longer receives frequent updates
• you need auditing of non-Brazilian government data without significant adaptation
• you need a production-ready turnkey fraud detection system rather than a research/civic project

Facets

application · maturity maintenance

machine-learning data-science nlp web-scraping analytics data-visualization data-science artificial-intelligence analytics e-government python civic-tech open-data public-spending-audit brazil government-transparency anomaly-detection congressional-expenses transparency linux docker web

Member repositories

For agents

markdown · JSON · MCP: product_card(name="okfn-brasil/serenata-de-amor")