Developing Good Habits Using Deep Learning Techniques

in this present work, we emphasize the main question about success: why do some people seem to be successful while the great majority of the rest of us seem not to be? To be more specific, the challenge of this work is to propose a novel system to assist people in developing good habits using deep learning techniques. To achieve this goal, we propose the use of Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN). The two best-known supervised learning method. The first step consists of using a deep RNN neural network to perform the captioning of the user’s activities. Then use another deep CNN to do the classification of the activity based on the result of the first network and then decide whether what the user is doing is a good habit or not. To our knowledge, there is no previous work dealing with this topic through a computer science lens, and this will be of greater value to most of the people who are interested in developing new good habits. This system will also suggest new directions for basic and applied research on success in general and good habits in particular.