Team
AcessiBus
This team is at maximum capacity.
Project Concept
AcessiBus is an AI conversational agent designed to provide independence and safety for visually impaired commuters. Public transportation is often a major barrier to urban mobility; our project aims to turn complex transit information into a simple, voice-guided experience that helps users travel with confidence.
Our main objective is to bridge the accessibility gap in public transit. We are using Python and the Google ADK to build a system where users can interact naturally via voice to get the information they need about their journey.
Voice-Guided Information: Instead of navigating complex apps, users can ask natural questions about bus lines and arrival times.
By leveraging the Google Maps Platform APIs, the agent processes real-time data to provide clear, actionable transit details.
The ultimate goal is to ensure that everyone, regardless of their visual impairment, can navigate the city bus system autonomously.
Entry
Status: Submitted
Last saved: April 12 at 4:44 PM -03
Team Roster (team is at max capacity)
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Eduardo Monteiro Almeida Team Lead RSVP Approved
Estudante at Universidade de Sorocaba
Focado no backend do agente e na integração do streaming de audio entre backend python e front em react com typescript
Eduardo Almeida is an undergraduate student at Universidade de Sorocaba, pursuing a degree in Data Science and Artificial Intelligence. He is a full-stack developer with a specialization in Python and Flask, demonstrating expertise in SQLAlchemy, SQLite, and authentication methods like bcrypt and Flask-Login. Eduardo has contributed to 10 GitHub repositories, including SiGA, a locker management system that incorporates task scheduling with APScheduler and internationalization via Babel. His current development efforts involve expanding into React, TypeScript, and exploring Go for backend services. He is actively seeking speaking opportunities and sponsorships.
Python, Flask, SQLAlchemy, React, TypeScript, Go, Data Science, Artificial Intelligence, web backend architecture, full-stack development, database integration, AI agents, technical architecture, task scheduling, authentication systems, internationalization (i18n)
SiGA is a locker management system built with Python, Flask, SQLAlchemy, and SQLite, featuring authentication via Flask-Login and bcrypt, task scheduling with APScheduler, and internationalization using Babel. Current development work focuses on expanding into full-stack territory by integrating React and TypeScript for frontends and exploring Go for backend services. Active GitHub contributions (10 repos) demonstrate ongoing implementation of web applications and database integrations.
Davi Andrade Andrade Gonçalves RSVP Approved
Estudante at Universidade de Sorocaba
Foco na parte de frontend, landing page e identidade visual
I am a Software Developer and Postgraduate student in Artificial Intelligence and Blockchain at the University of Sorocaba (Uniso). I am passionate about leveraging cutting-edge technology to solve complex social challenges. Currently, I’m working on SensePad, a project focused on digital accessibility. With a solid background in Flutter, React Native, and NoSQL, I combine my technical expertise with advanced studies in AI to build inclusive and decentralised digital solutions.
I am looking to deepen my knowledge of Google AI tools to enhance accessibility features in mobile apps. I'm eager to connect with developers and mentors focused on social impact, assistive technology, and data science. My goal is to explore how machine learning can personalize user interfaces for individuals with diverse motor or sensory needs.
Developing SensePad, an accessibility-focused mobile app using React Native & Expo.
Alex Frazatti RSVP Approved
Professor Universitário - Sistemas Cognitivos at Universidade de Sorocaba - UNISO
Planejamento e direcionamento de todo o projeto
Results-driven Technology Professional with strong entrepreneurial skills, seeking to leverage expertise in business management and development to create positive and impactful ventures in Health Tech, Mental Health and Neuroscience field.
• Developed a Brain Machine Interface solution to measure Cognitive Stress based on EEG
• Developed a Emotional Recognition based on Streaming Images
• Validating Product-Market-Fit for Cognitive Stress and Engagement at workplace (in progress)
• Looking for funding for Brainer (in progress)
Elen silva RSVP Waitlisted
Estudante at Uniso
Não conseguiu vir ao evento
Atuo na área de design de sites e sou estudante de pós-graduação em Inteligência Artificial, com forte foco em design e experiência do usuário. Especializo-me no desenvolvimento de soluções digitais intuitivas, acessíveis e centradas no usuário. Atualmente, trabalho em projetos voltados à acessibilidade digital, com o objetivo de promover experiências mais inclusivas e de maior impacto. Encontro-me em transição ativa para a área de Inteligência Artificial, aprimorando continuamente minhas competências para o desenvolvimento de produtos digitais mais inteligentes, adaptativos e relevantes. Sou graduada em Análise e Desenvolvimento de Sistemas.
Tenho interesse em aprofundar meus conhecimentos em Inteligência Artificial, especialmente na aplicação de IA para melhorar a experiência do usuário e a acessibilidade digital. Também me interesso por design UI/UX, tecnologia centrada no ser humano e soluções digitais inovadoras. Busco me conectar com profissionais da área de tecnologia, especialmente aqueles que atuam com IA, design de produto e impacto social.
Atualmente estou envolvida no design e desenvolvimento de sites, com foco na criação de experiências digitais intuitivas, centradas no usuário e visualmente envolventes, enquanto aprimoro continuamente minhas habilidades em práticas modernas de design.