Learn how to build client side chatbot with Oracle JET, on top of contextual chatbot model, which is implemented with TensorFlow Learn library using deep neural network model. Context is king, while talking about intelligent chatbots. It is very important to keep context, otherwise conversation becomes useless. This session will focus on three areas - user intent processing with TensorFlow machine learning, conversation context tracking and chatbot UI implementation with Oracle JET. Communication between JET client side and TensorFlow is implemented through REST with Flask microframework for Python.