The project involves 4 sub segments Part 1 Implement an object detection model for highlighting human faces to automate the process of providing information of cast and crew while streaming. Part 2 Curate a training dataset to be used for highlighting human faces Part 3 Implement a face identification model for a company, which intends to recognize human faces form images. Part 4 Building an automation to impute dynamic bounding boxes to locate cars/vehicles on a video file.

CNN, NN, GUI, OBJECT DETECTION