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
Big Data
Company:
SKZ Oberle.
Problem:
Improve data management and consumption within the company.
Objective:
Development of a corporate data platform focused on the efficient use of accounting, tax, and financial data.
Public:
IT team.
Integrated business system
Company:
G2 Technology.
Problem:
Improve business productivity and process controls.
Objective:
Implement an ERP system (SAP Business One) at a pilot customer with real processes.
Public:
Operations and IT team.
Prediction with Deep Learning
Company:
CREA SP.
Problem:
Quickly identify potential fraud in ARTs.
Objective:
Predictive model for detecting fraud, non-compliance, and ART volume.
Public:
Technology team.
A/B testing strategies
Company:
Rede Gazeta.
Problem:
Improve the experience and increase the permanence of the news consumer.
Objective:
Behavioral analysis and redesign of the quick news section to optimize engagement and delivery of factual content.
Public:
New business team.
Natural language processing
Company:
Pepperlaw.
Problem:
Increase the productivity of reputation analysis for client companies.
Objective:
Solution using PLN (Natural Language Processing) for automated monitoring and analysis of company reputation.
Public:
New products 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.
Prediction with Deep Learning
Company:
Aegea.
Problem:
Identification of fraud patterns.
Objective:
Determine whether a consumer behavior is likely to be fraudulent or not.
Public:
Technology team.