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
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.
Neural networks with reinforcement learning
Company:
Minipa.
Problem:
Autonomous navigation algorithm for self-guided robots.
Objective:
Developing an autonomous navigation algorithm for self-guided robots using computer vision and reinforcement learning.
Public:
Technology team.
Neural networks with reinforcement learning
Company:
BTG Pactual.
Problem:
Increasing and scaling the way of validating the variables for pricing synthetic fixed income assets.
Objective:
Pricing to achieve 100% of the CDI on Synthetic Fixed Income Assets.
Public:
The company's pricing team.