Audio Thermometer : Determining Water Temperature By Its Sound

Abstract: In this project, the temperature of water was to be determined by recording the sound made whilst being poured into a container. The goal was set to achieve an accuracy of at least 80% of measurements should be predicted within ±10°C and a negligible amount outside ±20°C. The approach to this problem was through creating an algorithm based on signal analysis and machine learning, which required a large quantity of audio samples to train. This algorithm would then be put into an application for added versatility. The resulting algorithm was able to make a prediction of 78.4% of measurements within ± 10°C and the ± 20°C interval contained all but 5.4%  of the measurements. The app did not work as intended on mobile devices but is functional on a computer. Although the computer version is functional and can predict temperatures, it is not accurate enough to be useful in day to day life.