Results of Geo Data Search Project with IAV (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 teamGeo Data Search
Project missionThe project mission is to achieve an interpretation of buzzword user queries in German through a web interface concerning location, length, height (difference) of public routes, places and regions. Multiple results, routes or places, matching the user query as close as possible will be displayed in a list as well as in a map. The software should be usable from desktop web browsers and be intuitive – an option to get examples for possible inputs in the web interface will be provided nevertheless.
Industry partnerIAV GmbH
Team logo
Project summaryGeo Data Search is a browser app that enables users to search for routes and places specified by geographical properties, like height of elevations and route lengths. The user-friendly interface allows processing of queries expressed with natural language. The results are shown on a map and can also be exported via the downloadable KML file. Moreover, the app comes with features,  including  finding charging stations on routes, as well as cost-saving route planning by avoiding toll roads. The project is constructed separately into its different purposes: Frontend, Backend and Natural Language Processing. Due to usage of docker compose, the containers can be individually horizontally scaled depending on the load and the resource consumption of a particular service. Using GitHub actions, the project provides a CI with automatic tests that are run on each pull request in the corresponding containers.
Project illustration


Team photo
Project repositoryhttps://github.com/amosproj/amos2021ws01-geo-data-search
Additional informationSee https://github.com/amosproj/amos2021ws01-geo-data-search/tree/main/Documentation/images/Project%20Summary for full size project illustrations
Friedrich-Alexander-Universität Erlangen-Nürnberg