In this project we will create a model to classify the audios, the dataset that we will be using for this project is taken from https://urbansounddataset.weebly.com/urbansound8k.html. This dataset contains 8732 labeled sound excerpts (<=4s) of urban sounds from 10 classes: air_conditioner, car_horn, children_playing, dog_bark, drilling, enginge_idling, gun_shot, jackhammer, siren, and street_music. Firstly, we will perform Exploratory Data Analysis on the data inorder to understand the various characteritics, then we will perform Data Preprocessing to convert the data which can be used to develop a model which can classify the audios and finally we will create the model based on the requirements and evaluate its performance.