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

Computer vision

Computer Science

Company:

Better Beef.

Problem:

Analysis of thermographic images of cattle.

Objective:

Train machine learning models to analyze thermographic images of cattle.

Public:

Technology team.

Computer vision

Computer Science

Company:

Sette.

Problem:

Challenge students to create a solution that is more effective than the existing solution.

Objective:

Generate a computer vision model for agricultural regions in the South of Brazil that accurately identifies productive plots, helping to overcome the challenges related to the local terrain and production characteristics.

Public:

Internal technology team.

Management reports

Information Systems

Company:

Cia de Talentos.

Problem:

Making data and information available in a strategic and simple way.

Objective:

Create an interactive dashboard to improve the candidate selection experience for clients.

Public:

Product team.

Management reports

Information Systems

Company:

Volkswagen.

Problem:

Challenge students to consolidate, cross-reference and attractively demonstrate management information based on existing data from different areas.

Objective:

Mental Health Dashboard vs Metric indicators by area.

Public:

The company's people and health team.

Digital distributed processing systems

Software Engineering

Company:

Paula Souza Center.

Problem:

Lack of profile coverage in the service experience.

Objective:

Develop an application to manage the services provided by the Inclusion Office.

Public:

Service team.

Digital distributed processing systems

Software Engineering

Company:

Generating Falcons.

Problem:

Providing small NGOs with a management tool.

Objective:

Application for managing NGO services for operational control.

Public:

The company's technology team.

Digital distributed processing systems

Software Engineering

Company:

Inteli.

Problem:

Automate the process of submitting projects and selecting partners.

Objective:

Web platform for project offices to manage and monitor their project partnerships.

Public:

Inteli's project office team.

Digital distributed processing systems

Software Engineering

Company:

Dell Technologies.

Problem:

Connecting professionals with interests in certain technologies and/or projects, with projects in progress or to be opened.

Objective:

Centralize temporary project opportunities and make them available so that those who want to learn can find out more about the project. Connecting demand and supply and spreading learning in different technologies.

Public:

Employees from the company's IT department.