INFINA

The research project Intelligent Financial Assistant (INFINA) is a joint project between the Department of Intelligent Embedded Systems (IES) at the University of Kassel and fino create GmbH, based in the Kassel Science Park. This project is being supported by Wirtschafts- und Infrastrukturbank Hessen as part of the Operational Program for the Promotion of Investments in Growth and Employment in Hessen from funds of the European Regional Development Fund (ERDF) 2014 to 2020 (IWB-EFRE program Hessen).

The object of this cooperation project is research on an automated and intelligent financial assistant based on machine learning. Thereby, the financial situation of a user shall be analyzed and possible improvement potentials identified. The technical goal of this financial assistant is to fully support users in their individual  financial situation and to provide tools for making financial decisions. The sub-project of fino concentrates on technical development and on market observation. The sub-project of IES focuses on the machine learning fundamentals of the system. In this context, novel methods for the representation and comparison of time series based on discrete events will be explored as well as methods for the transfer of knowledge and the aggregation of similar user groups. Thus, the focus of the research is to test and validate different machine learning techniques in order to model a prototype. As such, it is industrial research involving aspects of basic research in cooperation between industry and university. In summary, the working areas of the IES are classification and representation of time series (using active learning), similarity assessment for time series, regression and user group comparison