My journey in blending my deep-seated interest in music with my technical expertise in machine learning culminated in an intriguing project. The challenge was to decipher the combination of modulations in a signal to recreate a unique, otherworldly tone often used in songs, a common conundrum for guitarists. Leveraging my skills in web application development and machine learning, I embarked on creating a comprehensive dataset of over 200 audio clips. This dataset served as the foundation for training a machine learning model capable of analyzing and identifying specific modulations in audio signals. The culmination of this project was an interactive web application, where users could upload an audio file and the system would efficiently detect the possible modulations. This endeavor not only fulfilled a personal interest but also provided a practical solution to a widespread issue among guitarists.