Prototypes Delivered

Our Call for Projects is the way we let the market know which projects are available for the next semester. During this period we receive applications for initiatives from companies, NGOs and government institutions with their business challenges.

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.

Check out our prototypes

Project

Company

Course

Software quality

Software Engineering

Company:

Rappi.

Problem:

Improving product quality in the software quality process.

Objective:

The metaproject instantiated for the company is the creation of software code for quality control.

Public:

Technology team.

Software quality

Software Engineering

Company:

Cogny.

Problem:

Test automation.

Objective:

Structuring the DEV flow, driven by tests in the form of TDD.

Public:

Technology team.

Software quality

Software Engineering

Company:

Prodam.

Problem:

Challenge students to improve existing software quality processes.

Objective:

Automation of tests on the company's CORE functionalities.

Public:

The company's technology and product team.

Natural language with generative AI

Computer Science

Company:

Uber.

Problem:

Improve the customer's online shopping experience.

Objective:

Create a solution for smart shopping lists with generative AI at Uber Grocery.

Public:

Product team.

Natural language with generative AI

Computer Science

Company:

Brastel.

Problem:

Optimization of customer service.

Objective:

Implement a chatbot to optimize and increase customer service capacity.

Public:

Technology team.

Edge computing system

Computer Engineering

Company:

Abundance Brazil.

Problem:

Counting trees in forests.

Objective:

Through AI, increase efficiency in counting trees in forests.

Public:

Technology team.

Distributed systems

Computer Science

Company:

Alive.

Problem:

Stock management.

Objective:

Distributed inventory that supports stock management for multiple DCs and stores.

Public:

Commercial team.

Distributed systems

Computer Science

Company:

Alive.

Problem:

Bringing real challenges to the academic world, exploring possibilities for technological improvements.

Objective:

Optimize the user experience in the APP through distributed systems.

Public:

The company's technology team.