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
Digital gaming
Company:
Ambev.
Problem:
Low engagement in traditional training on Diversity and Inclusion.
Objective:
Turn company materials into a Game to increase training engagement and retention.
Public:
30,000 Ambev employees.
Agile Software Development Pipeline
Company:
Cogny.
Problem:
Optimization of the DevOps process.
Objective:
Structuring the continuous delivery flow through Github Actions with multiple systems (client application, data synchronization middleware and backend).
Public:
Technology team.
Agile Software Development Pipeline
Company:
Everymind.
Problem:
Improve the flow and efficiency of the technology team.
Objective:
Building a solution to automate the deployment processes of developments on the Salesforce platform.
Public:
Internal technology team.
Structure and Governance for Data Analysis
Company:
Volkswagen.
Problem:
Increase the visibility of processes and their results.
Objective:
Developing a real-time data pipeline, integrated with Industry 4.0 technologies, to guarantee the governance and efficient processing of information from Volkswagen's production process.
Public:
Quality team.
Structure and Governance for Data Analysis
Company:
BCG.
Problem:
Data governance.
Objective:
Develop a pipeline with data governance policies. with a DataApp for visualization.
Public:
Technology team.
Computer vision
Company:
Atvos.
Problem:
Identification of weeds in sugar cane cultivation.
Objective:
Developing a computer vision model to identify weeds in sugarcane crops.
Public:
Innovation team.
Computer vision
Company:
Better Beef.
Problem:
Analysis of thermographic images of cattle.
Objective:
Train machine learning models to analyze thermographic images of cattle.
Public:
Technology team.
Computer vision
Company:
Sette.
Problem:
Challenge students to create a solution that is more effective than the existing solution.
Objective:
Generate a computer vision model for agricultural regions in the South of Brazil that accurately identifies productive plots, helping to overcome the challenges related to the local terrain and production characteristics.
Public:
Internal technology team.
