The goal of this project is to create a deep learning-based visual crowd counting system. The objective of this project is to build a functioning system that can analyze pictures and determine the number of individuals present within these images. It will also demonstrate its approximate density map, a graph comparing the expected count to the actual count, and information on its accuracy in terms of Mean Absolute Error (MAE).