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Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2016, Director: Eloi Puertas i Prats, This project is based on a collaboration with the research group of the Biology Faculty of the University of Barcelona. It aims to develop a tool, called CASCO,that allows to get a score and a ranking of cachexia in cancer patients. Also it will be implemented a smaller version of the tool, called miniCASCO. It will be implemented a interactive and multiplataform form, that will allow to enter all the patient data and get the results through the necessary calculations. The forms will be stored on a database to allow them to be retrieved, displayed or modified once saved. In addition it will be implemented some extra function, like the possibility of view the forms history of a patient, generate evolution graphs or export a form to pdf format. It will be developed an administration area, which will allow to register users on the system, export all the forms for a given user to a Excel document, or view a conversion of CASCO form to a miniCASCO form.

Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2014, Director: David Sánchez Pinsach i Daniel Villatoro Segura, This project its about many of the most advanced fields in computer science as data mining and data visualization. Also it's pretended to create a new leading application about a innovative idea, develop a big cooking data base with a visualization module. This feature will allow to visualize the complex network created from all the food ingredients in the data base in order to make easier the data extraction in the food network. All of this working in a web site and always using scalable technologies for a good performance in big amounts of data scenarios. This project is contextualized in the UB-Bullipèdia Unit. Graph analysis it's a growing field in computer sciences, every day more data is organized in network form, it's the case for example of the social networks. Also data mining and information analysis in general are growing fields because the data volumes are raising every day, it makes the data visualization really interesting for extract useful data and conclusions in a easy way. In addition, using data organized in a graph form is easy to extract interesting information as clusters, minimum paths, most central nodes and popular nodes... To sum up, the project will be segmented in different goals, data collection like data cleaning and web visualization. Every single one of this parts i's so important for achieve the completely working application. These goals imply to construct a smart web crawler in order to fill the data base downloading all recipes from any cooking websites, use scalable technologies with the purpose of don't lose performance with huge amounts of data, and make it all work in a web application for make easier to visualize the data. The website will be developed under the python framework, Djando.