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
Predictive Model
Company:
CVM.
Problem:
There is no risk prediction model for FIDC-type funds.
Objective:
Predicting the risk of the FIDC fund, assessing the likelihood of a problem occurring, whether due to future insufficiency or lack of provision.
Public:
CVM's internal data analytics team.
Predictive Model
Company:
Mobly.
Problem:
Improve the purchasing provisioning process and stock control of SKUs.
Objective:
A model capable of generating a sales forecast and purchase suggestion with quantity for each sku.
Public:
Mobly's internal data analytics team.
Predictive Model
Company:
Bettha.
Problem:
There is no prediction model to suggest the best job or training for the candidate.
Objective:
Recommending the best vacancy or training for the candidate user of the platform.
Public:
Bettha's internal data analytics team.
Predictive Model
Company:
BCG.
Problem:
There is no model for predicting customer churn.
Objective:
A model trained to identify possible customer churn.
Public:
BCG's internal data analytics team
Predictive Model
Company:
USP - Medicine.
Problem:
Support researchers and doctors in prescribing the best treatment for breast cancer patients.
Objective:
To create a predictive model based on the clinical and laboratory data of patients diagnosed with breast cancer, which can support the indication of the treatment regimen and follow-up practiced.
Public:
Doctors from the oncology department of USP's medical hospital.
Predictive Model
Company:
USP - Medicine.
Problem:
Unpredictability of the causes and influences of breast cancer.
Objective:
Development of a predictive model that, based on clinical and laboratory data, supports the prediction of breast cancer variability.
Public:
Doctors and health system employees.
Predictive Model
Company:
Rede Gazeta.
Problem:
Low precision of the possible results of new content.
Objective:
A predictive model that analyzes the acceptance variables for new content and returns a forecast of the audience that will be reached.
Public:
Broadcaster viewers.
Predictive Model
Company:
Everymind.
Problem:
Knowing the most relevant variables that impact on the experience of collaborators and that can lead to a break in the bond.
Objective:
A predictive model that helps to understand the journey of the company's employees, creating a better experience and increasingly valuing each person's talent.
Public:
Everymind employees.
