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Parking vehicles has always been a grueling task. We plan to ease this task by using analyzing a continuous video input stream and determining the availability of spaces in parking areas. Initially, the input from a CCTV is loaded and divided into frames. We then determine the presence of a car using technologies like Opencv, YOLO, and some pre-trained DL models. This is run in the backend which is connected to our web interface using Flask. Later we use Satellite imagery as input.