Deep Learning Model to detect and recognize the facial expression of a human. We train a VGG-like network from scratch on the training data, while taking into account that our network needs to be small and fast enough to run in real time on our CPU. FER2013 Dataset was used for this purpose. We were able to obtain 66.96% accuracy, which is 5 th position on the Kaggle Facial Expression Recognition Challenge.

A Tool to perform network attacks such as Man in the Middle attack on any system which is available in the attacker’s network.

A tool to generate an image from other image.

A tool to generate text of different style. Was able to generate Shakespeare like stories.

Keeps trace of the keyboard buttons you pressed and send it to your email.