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
Structure and governance for data analysis
Company:
Volkswagen.
Problem:
Increase the visibility of processes and their results.
Objective:
Developing a real-time data pipeline, integrated with Industry 4.0 technologies, to guarantee the governance and efficient processing of information from Volkswagen's production process.
Public:
Quality team.
Structure and governance for data analysis
Company:
BCG.
Problem:
Data governance.
Objective:
Develop a pipeline with data governance policies. with a DataApp for visualization.
Public:
Technology team.
Computer vision
Company:
Atvos.
Problem:
Identification of weeds in sugar cane cultivation.
Objective:
Developing a computer vision model to identify weeds in sugarcane crops.
Public:
Innovation team.
Computer vision
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
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
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
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
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.
