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.
Project
Company
Course
Robotics and computer vision
Company:
IPT.
Problem:
Automate image processing and categorization.
Objective:
Innovative algorithm for automated detection and monitoring of cracks in buildings.
Public:
Construction Products Team.
Optimization and operational research
Company:
Volkswagen.
Problem:
Improve visibility and resource planning.
Objective:
Optimize the allocation of engineering test vehicles by centralizing fleet management, increasing the efficiency of synergies, reducing operational waste and maximizing the use of available resources.
Public:
The company's engineering team.
Software quality
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
Company:
Cogny.
Problem:
Test automation.
Objective:
Structuring the DEV flow, driven by tests in the form of TDD.
Public:
Technology team.
Software quality
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
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
Company:
Brastel.
Problem:
Optimization of customer service.
Objective:
Implement a chatbot to optimize and increase customer service capacity.
Public:
Technology team.
Edge computing system
Company:
Abundance Brazil.
Problem:
Counting trees in forests.
Objective:
Through AI, increase efficiency in counting trees in forests.
Public:
Technology team.