Slack to communicate with teaching staff and Dr. Ming and arrange meetings. All the meetings will be held in Zoom since it allowed us to share the screen and it helps us to practice for our demos. Moreover, we will use WeChat which is not listed here to communicate with other members of our team. Every member of the team is in the WeChat group and we can also send a direct message to others.Visual Studio Code and PyCharm for development. Also, Postman will be used to test our API and HTTP requests.Git for version control since everyone in our team is familiar with it and has been using it for entire university life. We will use professional Git workflow which means there will be a release branch, a develop branch and several feature branches and all merges will be done by pull request with code review.
Python since it is the most popular language for machine learning and our product will be focused on computer vision based on machine learning. Besides, every member of the team is proficient in Python and capable to contribute to both development and testing. Moreover, there are lots of machine learning libraries available for Python and we will be using PyTorch. Another factor that leads to this decision is Dr. Tsai provides us an existing solution for other sports and it is using Python and PyTorch and it is working pretty well. So we decide to stay with these tools to develop our product so that it is much easier not only for us to get started but also for our primary customer to accept and use it as a solution. Since we are building a backend server, we will also use Flask which is a microframework for Python web development. We have considered using Django but Flask is more lightweight than Django and Flask could help to keep the code simple and clean. Although Flask is a microframework, it has a large number of libraries and it could be as powerful as Django with those libraries while not containing any unwanted functionalities. As for deployment, we decide to deploy our web app on Heroku for the demonstration purpose of the course. The biggest advantage of Heroku is it is completely free but it could fulfill our needs in the early stage of development. However, it might be a good idea to deploy it in CSI’s server for the production version since the data it collects and stores could potentially contain sensitive and confidential information.HTML5 for structuring the web, CSS3 for styling the web, and JavaScript for building the front-end logic. As for frameworks, we would use React because it is component-based that can keep our front-end code clean and organized. The virtual DOM of React also provides better efficiency in time when rendering the page. Furthermore, React has a greater number of users than Vue and Angular, thus have active communities for problem-spotting and problem-solving. We would also incorporate Bootstrap into our web app to provide an aesthetic user interface and thus to improve the user experience. The fact that Boostrap supports responsive site would also ease our workload if future adaptation for mobiles is needed.Generalist Engineer • 0 stacks
arieski demonstrates balanced experience across multiple technical domains with versatile stack choices.