This is an application of Convolution Neural Networks to detect different hand gestures and construct a bounding box around them. The hand image is extracted from the webcam and used to train as well predict the type of gesture TensorFlow Object detection (TFOD) was used to train the pre-existing Efficient net model (transfer learning) and apply it to the custom dataset that can accurately predict hand gestures