AI Tinkerers São Paulo - Google Deepmind Hackathon

Team

OpenLitika

This team is at maximum capacity.

Project Concept

The proposal for this hackathon is the creation of a platform that transforms information about the actions of already elected politicians (such as bills, constitutional amendments, and voting records) into accessible, neutral, and easy-to-understand content for the general public. The solution uses language models to analyze official texts and generate structured summaries in simple language, objectively explaining what is being proposed. The focus is on reducing complexity, allowing any citizen to understand political decisions without requiring prior technical knowledge.

In addition, the platform will be designed for continuous use, functioning as a tool to monitor public performance over time. Through integration with official sources, such as the Chamber of Deputies API (https://dadosabertos.camara.leg.br/api/v2/) and the Brazilian Federal Senate API (https://legis.senado.leg.br/dadosabertos/), the system will organize and present information clearly, enabling the visualization of recent proposals, covered topics, and other relevant data available through the APIs. Furthermore, additional information may be included, such as participation in votes and activity in specific policy areas for each political figure.

Entry

Status: Submitted

Last saved: April 12 at 4:58 PM -03

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Team Roster (team is at max capacity)

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Daniel Mantovani Team Lead RSVP Approved

Desenvolvedor at UFCG

Lead Frontend Developer and UI/UX Designer. Responsible for creating the entire platform interface, ensuring information accessibility, and managing the seamless integration between the frontend and the backend.

Daniel Mantovani is a Desenvolvedor at UFCG.

João Lucas Gomes Brandão RSVP Approved

Student at UFCG

Strategic Analyst and Communications Lead. Responsible for the technical data analysis that supports our project metrics and the creation of all presentation materials and pitch slides.

I am a 20-year-old Computer Science undergraduate at the Federal University of Campina Grande (UFCG), born in Campina Grande, Paraíba, Brazil. I hold a technical degree in Building Construction from the Federal Institute of Paraíba (IFPB). I am currently pursuing my degree in Computer Science, with a growing interest in technology and its potential to create meaningful impact.

I am particularly interested in the field of Artificial Intelligence, including model development, fine-tuning techniques, and the application of these technologies to create impactful and innovative solutions. I am motivated by the potential of AI to solve real-world problems and contribute to society in meaningful ways. In addition, I have a strong interest in infrastructure, especially in areas such as network security and cybersecurity.

I am a Computer Science student at the Federal University of Campina Grande (UFCG) and currently work as a developer and researcher in the Agents4Good project. In this project, I am specifically working on the application of AI for fake news detection, aiming to help combat misinformation and improve the reliability of information in digital environments.

Caique Calazans Campelo RSVP Approved

Student - Researcher at Agents4Good - UFCG

Specialist in system integration and AI agents. Responsible for bridging the frontend and backend, and developing the intelligent agents responsible for parsing and explaining legislative PDF proposals.

My name is Caíque, I'm 23 years old and I'm close to graduating with a degree in Computer Science from UFCG. I have strong interests in the areas of Software Engineering, Generative AI, and testing. Throughout my studies, I've been involved in tutoring courses such as Software Design, Large Language Models, and Algorithm Analysis and Techniques. Currently, I work on a project called Agents4Good, a partnership between the company Kunumi and UFCG, where research is conducted on the use of generative AI.

Generative AI, conventional AI model training, LLMs, software engineering focused on AI applications, full-stack web development.

I am working on a research and development project on agentic flows involving LLMs.

Beatriz Souza Meneses RSVP Approved

Developer and Researcher at Federal University of Campina Grande

Architect of the data infrastructure and backend engineering. Responsible for designing and modeling the Neo4j graph, creating the ETL scripts to populate the graph, building the backend foundation, and developing the core prediction heuristics.

I’m a Computer Science student with a strong interest in distributed systems, backend development, and building impactful technology solutions. I enjoy working on projects that simplify complex systems and improve accessibility, such as EurecaAI, a chatbot that translates academic data into natural language. I’m particularly interested in system design, concurrency, and scalable architectures, and I’m always looking for opportunities to apply these concepts in real-world applications.

I am particularly interested in distributed systems, backend engineering, and the design of scalable, data-intensive applications. I’m eager to deepen my understanding of how large-scale systems handle concurrency, coordination, and fault tolerance in real-world environments. I also have a strong interest in LLM-based systems and intelligent applications, especially in areas such as multi-agent architectures, retrieval-augmented generation (RAG), and the integration of structured data with natu

EurecaAI is a chatbot designed to transform complex academic data into natural language insights. The project focuses on making institutional and educational data—such as student records, performance metrics, and administrative information—more accessible and understandable for users without technical expertise. Currently, I’m working on building a system that integrates structured data sources and allows users to query them using natural language. Instead of navigating spreadsheets or database.