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
Predictive Model
Company:
Atvos.
Problem:
Predict freight rates and freight services.
Objective:
Predictive model for determining the best price for contracting inbound freight for harvest and off-season.
Public:
Operations team.
Predictive Model
Company:
Finnet.
Problem:
Improve the process of identifying defaults.
Objective:
Predictive model for analyzing defaults and potential future defaults for accounts receivable.
Public:
Financial team.
Predictive Model
Company:
Chilli Beans.
Problem:
Boost sales in a segment.
Objective:
Predictive and strategic model to boost sales of prescription lenses and strengthen the brand in this segment.
Public:
Marketing and sales team.
Predictive Model
Company:
FADEL.
Problem:
Improve the identification of vehicle maintenance and parts.
Objective:
Predictive model to optimize truck parts replacement in the fleet and reduce operating costs.
Public:
Operations and IT team.
Predictive Model
Company:
EAFIT.
Problem:
Identify students at risk of failing the course.
Objective:
Predictive model to identify students who need support in order to improve academic results.
Public:
Teaching staff.
Predictive Model
Company:
Unipar.
Problem:
Evaluation of employee health data.
Objective:
Create a solution with a predictive model to support the evaluation of employee health data.
Public:
Technology team.
Predictive Model
Company:
Rede Gazeta.
Problem:
Advertising revenue prediction strategy by economic sector.
Objective:
Develop a predictive model of advertising revenues by economic sector.
Public:
Technology team.
Predictive Model
Company:
Compass.
Problem:
Identification of fraud patterns.
Objective:
Model for detecting anomalies in consumption and identifying fraud patterns.
Public:
Technology team.