Results of Explainable Similarity Detector Project with Siemens (Video and Report, Winter 2021/22)

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This project is one of seven Scrum projects that were part of the winter 2021/22 AMOS Projects. Below please find the video (you may also like the other videos) and the project summary which details the final result of the project. We run these projects every semester, so please be in touch if you would like to motivate one of your own!

Project summary

Project teamExplainable Similarity Detector
Project missionThe mission of this project is to utilize the machine learning algorithm given by Siemens to find functionally similar electronic components. This is supposed to be given based on one or more component and with the help of filters. However, functionalities that cannot be completed by the end of the project should be prepared for later implementation (as Mock-Up).
Industry partnerSiemens
Team logo
Project summary In this project, in cooperation with our industrial partner Siemens, we
worked on a program for finding functionally similar and thus interchangeable components. Finding these similarities should be based on a machine learning model, although that did not work as initially expected. However, all necessary interfaces are already implemented for later implementation. The program offers various comfort functions such as the easy creation of filters and the ability to directly compare component properties.
Project illustration

Project repository
Friedrich-Alexander-Universität Erlangen-Nürnberg