From 3d5d9f4c4e51085d217514d920bc56523cdc0368 Mon Sep 17 00:00:00 2001
From: Ephraim Eckl <49097156+emilcode-dev@users.noreply.github.com>
Date: Thu, 9 Oct 2025 09:40:51 +0100
Subject: [PATCH] Update README.md

---
 README.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/README.md b/README.md
index 2a00f11..0f4b08f 100644
--- a/README.md
+++ b/README.md
@@ -12,6 +12,10 @@ A lightweight, real-time bird call classifier with a sleek web app, ready for ED
 
 ❗❗ This is a recently kicked off project and a work in progress. It is meant to become a bird call recognition app that can both run on the cloud and on the edge eventually. ❗❗
 
+This repository is going to be split in different repositories soon.
+- nightingale (model and python package)
+- nightingale-backend (backend with RESTful API using FastAPI, Docker, uvicorn, ...)
+
 ## 🚀 Getting Started
 
 The following sections show which tools need to be installed, how to download the example data and model, how to run an MLflow tracking server with the downloaded model locally and shwo how to run the dockerized application.