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
Robotics and computer vision
Company:
Gerdau.
Problem:
Ensuring safety first with the support of technology.
Objective:
Developing a robotic simulation solution for assessments in confined spaces.
Public:
Gerdau's development department.
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.
NLP automation (text, video, voice)
Company:
Bank Of America.
Problem:
Monitoring regulatory changes in the financial industry.
Objective:
Optimization of the process of monitoring regulatory changes in the financial industry.
Public:
Compliance team.
NLP automation (text, video, voice)
Company:
Sambatech.
Problem:
Providing innovative ways of visualizing information and insights to the sales team.
Objective:
Optimize video content consumption and insights with AI.
Public:
The company's technology team.
NLP automation (text, video, voice)
Company:
IBM.
Problem:
Support the INTELI institution with the use of voice recognition technology, developing students in the implementation of a real application.
Objective:
Joint application with the Watson system for speech-to-text and speech-to-text recognition.
Public:
IBM's product development team.
Autonomous vehicle
Company:
Ambev.
Problem:
Increase productivity in the warehouse operation, with wasted operator travel.
Objective:
Self-service robot to work in the AMBEV warehouse, facilitating service in the warehouse in the stages of receiving the requisition and locating the material.
Public:
Maintenance warehouse team.
Natural language processing
Company:
Uber.
Problem:
Challenge students to create a solution that is more effective than the existing solution.
Objective:
Measuring customer sentiment towards Uber by developing an application using natural language.
Public:
The company's product team.
