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 suit different types of solutions, and we firmly 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
Neural networks with reinforcement learning
Company:
Bank Of America.
Problem:
Have an agent trained in portfolio analysis.
Objective:
Agent trained with reinforcement learning capable of making autonomous decisions to buy, sell or maintain a position in a portfolio made up of three assets simultaneously.
Public:
The company's technology team.
Natural language processing
Company:
Pepperlaw.
Problem:
Increase the productivity of reputation analysis for client companies.
Objective:
Solution using PLN (Natural Language Processing) for automated monitoring and analysis of company reputation.
Public:
New products team.
SOA-based digital platform
Company:
BTG Pactual.
Problem:
Increase financial advisor productivity with valuable insights.
Objective:
Application to check the suitability of the Investor profile based on CVM resolution 175.
Public:
Product team.
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.
