This project utilizes a microphone or raw audio data to detect patterns of claps. The system isolates clap frequencies by applying a bandpass filter to the audio data, filtering out unwanted noise. The detection process involves identifying peaks in the sound, signaling a detected clap. These detected claps are then fed into a pattern recognition system, determining the number of claps in the audio. This app has shown wide success, gaining over 6k downloads worldwide.