This study demonstrates the lockdown affected the ambient auditory environment of Nagpur city, India. It reveals the noise scenario for the lockdown and post-lockdown phases of the pandemic. The condition during the COVID-19 epidemic was extremely negative and undesirable for traditional noise monitoring. The study selected a famous alternate approach to noise monitoring. Crowdsourcing was used to collect noise data from over 67 places throughout the city using the Android smartphone application “Noise Tracker.” The data analysis demonstrates a considerable reduction in ambient noise levels during the lockdown time, with the noise level at maximum places ranging within the safer side. It was observed that ambient noise levels were reduced by an average of 7.04 dB during the day (06:00 am to 10:00 pm) and 4.67 dB at night (10:00 pm to 06:00 am). The study used noise maps to illustrate lockdown and post-lockdown noise scenarios. The total study found a considerable drop in ambient noise levels during lockdown conditions, which can be attributed to reduced road, rail, and aviation traffic movements. The study also verifies the crowdsourcing strategy and the usage of smartphones for environmental science experiments. Such a study was never undertaken in Nagpur, where citizens contributed to the research.