Deep learning-based object recognition offers a quick and precise way to forecast where an object will appear in an image. The object detector automatically learns the visual features necessary for detecting tasks using the potent machine learning technology known as deep learning. The primary objective of this project is to create a system that is able to recognize objects based on a picture or a stream of images that are transmitted to it in real time from a camera or as video that has been captured in the past. The system will draw bounding boxes around the things it has detected.The system will classify the object based on the classes to which it already belongs before classifying it further. Python programming and an approach to machine learning known as the YOLO (You Only Look Once) algorithm are applied for the goal of object detection.