Contributing to society is a fundamental pillar of our model. That's why we make available the prototypes developed by our students over the years.
Our project-based learning model develops computer skills, business skills and socio-emotional skills through solutions to real market problems.
We hope that other companies, non-governmental organizations (NGOs) or government entities will find here a comprehensive repository of innovative and alternative solutions to meet their challenges.
The prototypes can be freely downloaded, customized and adapted to meet similar problems, and we believe that these prototypes have the potential to be widely used throughout the technology community, promoting collaboration and innovation on a large scale.
Project
Company
Course
Algorithm with graphs
Company:
Suzano SA .
Problem:
Late detection of forest fires exacerbates environmental and property losses, requiring real-time monitoring with a rapid response.
Objective:
Solution to optimize resources and operational response teams on land and in the air to forest fire outbreaks.
Public:
Forest monitoring brigades and teams.
Management reports
Company:
BOX .
Problem:
Audience and engagement data for institutional content are scattered, lacking consolidated indicators to guide editorial decisions.
Objective:
Development of a dashboard for the CAIXA newspaper that provides detailed insights into audience reach and reader engagement.
Public:
Institutional communication and content team.
Software quality
Company:
Asis Tax Tech .
Problem:
Failures in tax calculation systems compromise the platform's reliability and generate rework, requiring quality assurance through automated testing.
Objective:
Implement code analysis tools that can provide reports on quality, architecture, and security, and that are included in the continuous integration and continuous delivery process.
Public:
Development and QA teams.
Smart cities
Company:
Electromedia .
Problem:
There is a lack of consolidated visibility regarding the flow of people in urban spaces, which hinders decisions regarding outdoor media and city management.
Objective:
To improve the visualization of data from a mobile phone operator regarding people flow, generating insights for various areas of the company.
Public:
Outdoor media managers and urban planners.
Computer vision
Company:
Frontera Minerals .
Problem:
Mineral exploration relies on expensive and time-consuming prospecting, and the prior identification of areas with rare earth potential using satellite imagery reduces costs and risks.
Objective:
Predicting the presence of Rare Earth elements from multisensor images obtained from public platforms.
Public:
Geologists and mineral exploration teams.
Big Data
Company:
SKZ Oberle.
Problem:
Improve data management and consumption within the company.
Objective:
Development of a corporate data platform focused on the efficient use of accounting, tax, and financial data.
Public:
IT team.
Software architecture
Company:
Subway - SP.
Problem:
Make the infrastructure capable of handling cases involving AI.
Objective:
Preparatory architecture for AI Agent aimed at managing the Metro project portfolio.
Public:
Management team.
Autonomous vehicle
Company:
Inteli.
Problem:
Innovate the way tours and presentations are conducted at the institution.
Objective:
Programming a robot to conduct interactive tours on the Inteli campus.
Public:
Operations team.
