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
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.
Natural language processing
Company:
BTG Pactual.
Problem:
Develop an application based on natural language processing capable of monitoring Marketing Campaigns and Feedback via customer comments.
Objective:
Develop a solution for monitoring the performance of marketing campaigns.
Public:
BTG's Marketing Area.
Optimization and operational research
Company:
Aegea.
Problem:
Challenge students to create a solution that is more effective than the existing solution.
Objective:
Optimize the routing of residential water meter readers, increasing productivity and effectiveness by reducing the number of routes.
Public:
Internal technology team.
Optimization and operational research
Company:
Vtal.
Problem:
Deficit in planning the distribution of the company's field teams.
Objective:
Algorithm for optimizing field technician planning and resource distribution, improving service and service level.
Public:
Operations team.