Edge computing system
he aim of this project is to develop a proof of concept for a system with edge computing architecture, so as to enable the implementation of an artificial intelligence system without overloading the central server. The project focuses on each of the architecture's layers, with the main objectives being to [...]
Structure and governance for data analysis
The aim of this project is a complete immersion in the development of an advanced data app, aimed at improving corporate governance and supporting strategic decisions in organizations. It will use advanced algorithms to clean, categorize and structure this data, making it ready for in-depth analysis. The importance of the user interface will be explored, developing intuitive dashboards that [...]
Hyperconnectivity for Smart Cities
The overall goal of the project is to develop a robust and scalable software architecture to support the infrastructure needed for secure applications in smart cities. The main challenge is to manage the massive volume of data coming from edge devices, which includes a wide range of smart devices such as traffic sensors, [...]
Deep learning system applied to computer vision
The project aims to solve complex challenges in computer vision, using techniques such as image processing, segmentation, deep learning and transfer learning. The focus is on improving the accuracy and efficiency of image analysis, maximizing the use of limited resources and implementing advanced models efficiently. APPLICATION EXAMPLES: RESOURCES [...]
Management data reports and dashboards
The aim of the project is to develop technological solutions that improve HR management. The creation of reports and dashboards will be explored, with the purpose of visualizing specific HR information, promoting more effective management and data-based decision-making. The ultimate goal is to provide significant value to the sector [...]
Scalable application in distributed systems
The aim of this project is to develop a highly scalable, available, distributed system based on microservices. A system deployed in the cloud must be able to handle a large number of simultaneous requests and be easily scaled to handle more requests as traffic increases. The product is developed and deployed [...]
