Merge pull request #386 from MaHaWo/add-faunanet-to-showroom

Add faunanet to showroom

README.adoc

@@ -213,6 +213,12 @@ Learn more at: https://github.com/tphakala/go-birdnet[github.com/tphakala/go-bir
 whoBIRD empowers you to identify birds anywhere, anytime, without an internet connection. Built upon the TFLite version of BirdNET, this Android application harnesses the power of machine learning to recognize birds directly on your device.
 
 Learn more at: https://github.com/woheller69/whoBIRD[whoBIRD]
+
+| image:https://github.com/ssciwr/faunanet/blob/master/faunanet_logo.png[faunanet,300,link=https://github.com/ssciwr/faunanet]
+| *faunanet* + 
+faunanet provides a platform for bioacoustics research projects and is an extension of Birdnet-Analyzer based on birdnetlib. faunanet is written in pure Python and is developed by the Scientific Software Center at the University of Heidelberg, Germany.
+
+Learn more at: https://github.com/ssciwr/faunanet[faunanet]
 |===
 
 *Other cool projects:*

docs/assets/js/projects_data.js

@@ -920,5 +920,21 @@ var projects_data = [
     "Species Image": "https://upload.wikimedia.org/wikipedia/commons/c/c2/Grasshopper_Sparrow.jpg",
     "Species Image Credit": "dominic sherony, via Wikimedia Commons",
     "Species Icon": "feather"
+},
+{
+  "Project name": "faunanet",
+  "Organization/Project lead": "Scientific Software Center, University of Heidelberg",
+  "Target species": "birds, mammals",
+  "Country": "Germany",
+  "Region/Location": "Heidelberg",
+  "Latitude": 49.39,
+  "Longitude": 8.67,
+  "Contact":  "ssc@iwr.uni-heidelberg.de",
+  "Website": "github.com/ssciwr/faunanet",
+  "Paper": null,
+  "Species Image": "assets/img/dummy_project_image.png",
+  "Species Image Credit": "ChatGPT",
+  "Species Icon": "feather"
 }
+
 ];