Audio-to-LED Real-Time Visualization System

Working as part of a team, I developed a real-time audio visualization system that captures and processes audio signals using Fast Fourier Transform (FFT) to drive LED outputs. My role focused on signal processing and optimizing the synchronization between live audio input and LED patterns. We implemented noise reduction techniques and refined microphone calibration, significantly reducing false frequency triggers. Through collaborative testing and debugging, we achieved a highly responsive and accurate system that visually represents sound in real time, enhancing both aesthetics and functionality.