Hackathon Portal
AI Tinkerers - São Paulo
Team

Guardian

This team is at maximum capacity.

Project Concept

VozGuard / SilentGuard AI is an intelligent emergency call triage system that receives real-time transcriptions from a conversational voice agent (voice bot) and automatically classifies the content to support human operators in decision-making.

The flow works as follows:

A conversational agent answers phone calls and transcribes the audio in real time.
At the end of (or during) the call, a webhook sends the full payload — transcript, call metadata, caller geolocation, sentiment analysis, classification, and routing — to the /api/webhook/call-transcript endpoint.
The system normalizes the payload, classifies the emergency via AI (domestic violence, medical emergency, fall/accident, missing person, robbery/assault, fire, possible hoax, out of scope), estimates the geographic location from the text, and generates a structured occurrence with risk level, reliability score, detected signals, and recommendations.
The operational cockpit displays in real time: formatted transcript, classification, map with estimated location, nearby support points (hospitals, police stations), immediate risk checklist, event timeline, and suggested action.
An AI copilot (CopilotKit) assists the operator with classification explanations, operational briefings, and actions such as requesting human validation or marking as out of scope.
The system is designed for scenarios where the victim cannot speak freely (silent mode), detecting discreet codes and indirect distress signals. The final decision is always human — AI supports but never dispatches real emergency services.

Stack: Next.js 14, React 18, CopilotKit, SQLite (local persistence), OpenAI (classification), deployed via Docker on EasyPanel.

Entry

Status: Submitted

Last saved: May 16 at 5:34 PM -03

Team Roster (team is at max capacity)

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ALVARO SOUZA DA CRUZ Team Lead RSVP Approved

Analista Precificação Senior at Santander
Álvaro contributed to the product conception and helped shape the overall solution strategy. He supported the definition of the product vision, user journey, and CopilotKit experience, helping translate the project idea into a functional and impactful interface. He also contributed to aligning the generative UI concept with the real-time call workflow, ensuring the solution addressed the core problem and delivered value during the demo.
Alvaro Cruz is a Senior Pricing Analyst at Santander Brasil, with approximately 3 years of experience. He holds education from Universidade Estadual de Campinas in Engenharia Química and ETEC - Escola Técnica Estadual de São Paulo in Técnico Químico. Currently, Alvaro is focused on optimizing RWA, ROAE, and contribution margins by developing pricing feature books and technical reports. His work involves building production data pipelines using Python, Spark, and Kedro, migrating on-prem risk engines to Microsoft Azure and Databricks, creating Power BI dashboards and PowerApps, implementing ETL/ELT processes, and conducting feature engineering for risk modeling. He is looking for Talent and Speaking opportunities.
Data engineering, pricing analytics, Python, Spark, Kedro, ETL/ELT pipelines, Microsoft Azure, Databricks, feature engineering, risk modeling, RWA optimization, ROAE optimization, Power BI, PowerApps, distributed systems, talent recruitment, speaking opportunities.
Currently optimizing RWA, ROAE, and contribution margins at Santander Brasil by developing pricing feature books and technical reports. Key activities include building production data pipelines using Python, Spark, and Kedro, and migrating on-prem risk engines to Microsoft Azure and Databricks. Additional work involves creating Power BI dashboards and PowerApps for pricing analytics, implementing ETL/ELT processes, and conducting feature engineering for risk modeling.

Carlos Henrique Almeida Assis e Silva RSVP Approved

Analista at Instituto de pesquisas tecnológicas
Carlos worked on the frontend development, contributing to the implementation of the user interface and visual components of the application. He helped build and refine the CopilotKit screen, ensuring the frontend was aligned with the product experience and user flow.
Carlos Henrique Almeida Assis e Silva is an AI Engineer specializing in Application Development, currently working as an Especialista em Gestão da Informação at IPT - Instituto de Pesquisas Tecnológicas in São Paulo, Brazil. He has 6 years of experience and is actively involved in developing regulatory intelligence systems using Python, Playwright, BeautifulSoup, and AI agents for automated normative monitoring. His notable projects include SAVITS-Pinakes-RAG-Prototype, a semantic GraphRAG system; Lattes2Graph, which creates RDF knowledge graphs; and inteligencia-eleitoral-sp2026, a data-driven decision support pipeline. Carlos is seeking knowledge sharing, community, friendships, co-founders, and investors, and is open to introductions via email.
Regulatory intelligence systems, AI agents, RAG architectures, GraphRAG, RDF knowledge graphs, automated normative monitoring, medallion data pipelines, LLM-based decision support, data governance, FAIR principles, LGPD compliance, Python-based web scraping, vector databases, technical architecture, product review.
Developing regulatory intelligence systems at IPT using Python (Playwright, BeautifulSoup) and AI agents to automate normative monitoring. Key projects include **SAVITS-Pinakes-RAG-Prototype**, a semantic GraphRAG system using Streamlit; **Lattes2Graph**, which builds RDF knowledge graphs via automated ingestion; and **inteligencia-eleitoral-sp2026**, a medallion pipeline utilizing DuckDB, ChromaDB, and Llama-based chat for data-driven decision support and compliance.

Ricardo Kerr RSVP Approved

Especialista at BTG Pactual
Ricardo worked on data and backend development, contributing to data structuring, backend logic, and integration support. He helped ensure that the application could process and use the required information to support the product workflow.
IT professional with 25 years of experience in IT service management (contract management, RFPs, service catalog, CMDB, vendor management, due diligence, gap analysis, OLAs, SLAs, KPIs, and OKRs) and technological innovation, leading ITSM projects. In 2019, I deepened my expertise in multichannel chatbots by completing an MBA in Mobile Development (FIAP). In the AI era, I lead projects involving AI agents, prompt engineering, and the creation of AI personas and voice agents, and I am currently completing a postgraduate degree in Systems and Intelligent Agents (UFG).
Soluçoes de agentes inteligentes. Departamento de TI.
Projetos de ChatBot: Webchat e WhatsApp, IA Gen / LLM, Machine Learning, Microsoft Copilot Studio / Microsoft Power Virtual Agents, Microsoft Power Automate, MBA IoT and Virtual Assistents | Power BI Admin | Apple MDM | Membro APDADOS®, ITSM, gestão de equipes multidisciplinares

Marcu loreto RSVP Approved

Gerente de Soluções de IA at cpqd
Marcu worked on the backend and documentation, contributing to the system structure, API/webhook integration, and technical documentation. He helped organize the backend flow to support the frontend experience and the AI-driven interactions.
Sou um líder sênior de Produto, Tecnologia, Dados e IA, com mais de 25 anos de experiência na criação, evolução e liderança de plataformas digitais, produtos SaaS e soluções inteligentes em ambientes globais. Atualmente, atuo como Head de Generative AI & Data no CPQD, liderando estratégia, roadmap e execução de plataformas baseadas em IA Generativa, LLMs e dados, conectando inovação tecnológica, visão de produto e geração de valor para o negócio. ▣ Liderança em Produto, IA Generativa, Dados e Plataformas. Diretoria de Pesquisa, Desenvolvimento e Inovação. ◈ Estratégia de produtos AI-first, LLMs, agentes de IA, SaaS, analytics, automação inteligente, gestão de times multidisciplinares, visão de produto, execução e comunicação executiva orientada a resultados.
Generative AI, LLMs, AI agents, computer vision, data analytics, AI-first product strategy, SaaS, intelligent automation, IoT/5G connectivity, digital transformation, PMO setup, behavioral analysis, customer service AI solutions.
Atendimento e analise comportamental

Eduardo Murakami RSVP Waitlisted

Diretor operacional at Dunnas
Eduardo contributed to the project presentation, supporting the creation and organization of the PowerPoint deck. He helped structure the storytelling, project overview, solution explanation, and final demo narrative for the presentation.
30 anos de experiência na área de it. Atuei em várias áreas como projetos e sustentação. A maior parte de minha carreira trabalhando em mercado financeiro e seguradoras (previdência privada e seguros).
Hiring, Partnerships, Product review, Knowledge sharing with peers, Talent, Co-founders (Technical), Co-founders (Business), Speaking opportunities, IT staffing and specific skills sourcing, Fixed-price IT projects
Estou atuando na área de dados. Função analista de dados