Noise pollution, accelerated by modernization and urbanization, requires noise monitoring to protect human health and productivity levels. This study utilized a quantitative approach and experimental design to collect data on the device’s processing time, feedback speed, and distance parameters. This study focused on three decibel levels: 60 decibels, 80 decibels, and 100 decibels. The results proved that the Noise Level Alert Device is efficient, with its processing times averaging 0.23, 0.21, and 0.18 seconds, respectively. Feedback speeds were similarly swift, averaging 0.86, 0.15, and 0.12 seconds, respectively. Furthermore, the Noise Level Alert Device detected noise up to 60 centimeters for 60 decibels, and up to 1.5 meters for 80 and 100 decibels. The sound sensor was used to create an accurate Noise Level Alert Device. The device gives a voice alert whenever the noise exceeds the predetermined decibel while being an affordable Noise Level Alert Device. Based on the results, the Noise Level Alert Device can quickly process noise and give feedback with accuracy. Lastly, as it was capable of detecting noise from different distances, the device can be further improved by using a higher-grade sound sensor to have a smoother process in detecting sound waves and to be able to cover bigger spaces.