diff --git a/README.md b/README.md
index ded87e3..d6e7f25 100644
--- a/README.md
+++ b/README.md
@@ -6,6 +6,16 @@ A realtime acoustic bird classification system for the Raspberry Pi 4B
 ## Introduction
 The BirdNET-Pi project is based on the BirdNet-Lite project and is able to recognize bird sounds from the microphone and the sound card in realtime. The system installs all needed services on the Raspberry Pi. 
 
+## Features
+* 24/7 recording and BirdNET-Lite analysis
+* Web interface access to all data and logs
+* Automatic extraction of detected data (creating audio clips of detected bird sounds)
+* Spectrograms available for all extractions
+* MariaDB integration
+* NoMachine remote desktop (for personal use only)
+* Live audio stream
+* Localisation supported
+
 ## Requirements
 * A Raspberry Pi 4B
 * An SD Card with the 64-bit version of RaspiOS installed [(download the latest here)](https://downloads.raspberrypi.org/raspios_arm64/images/)
@@ -43,6 +53,9 @@ The BirdNET-Pi system can be accessed from any web browser on the same network:
 ### Internationalization:
 The bird names are in English by default, but other localized versions are available. Please download the labels_l18n.zip file and replace the `model/labels.txt` with the corresponding language.
 
+### Realtime Analysis Predictions View
+The pre-built TFLite binaries for this project also support [the BirdNET-Demo](https://github.com/kahst/BirdNET-Demo), which I am currently testing for integration into the BirdNET-Pi.
+
 ### Tips:
 You can try to overclock your Pi by placing the following in your `/boot/config.txt` file: