Gained Knowledge about deep learning.Hands on experience in neural networks focused on Computer visions and the use of CNNs in classifications and detectionImplemented that knowledge in a Hand guesture classification project published openly on my github account. It was a team project That I worked on with 2 other talented colleagues.The project included the Following1- The use of retraining pre-trained models (YOLO) to detect hands in pictures and filtering them based on accuracy so that only one hand is in control2- Using ML Frameworks (Tensorflow), We made a CNN model following Alexnet architecture for classification taking the output of the first model and further classifying it to one of the labeled guestures binding each guesture to a specific command3- The use of preprocessing in training and execution to select only the distinctive properties of a hand.This helped making the training data unbiased and increased validation accuracy to 98%4- The use of a hardware motor demo using Arduino controlling the speed of a motor using the guesture commands generated by the CNN.