This past week, the team mostly did initial set-up and began the research/implementation process. We wanted to get all of our environments up and running, so that we could have a centralized platform for implementing features. We decided to create a GitHub repository for everyone to access the code and make changes. Each team member is working on their own branch and will make a pull request to master when they are ready to merge. One of the risks that could jeopardize the success of the project would be having consistent merge conflicts, where team members are overwriting each other’s code. By making sure we make pull requests from our individual branches, we are making sure that master only contains the most up-to-date, working code. No major changes were made to the existing design of the system as this week was mostly spent familiarizing ourselves with the project environment and getting started with small components of the project.
Jessica started researching and implementing the facial detection part for the behavioral interview portion. She followed the existing design of the system, where a user’s eyes will be detected and tracked to ensure that they make eye-contact with the camera. She used the Haar Cascades from OpenCV library in Python to detect a face and the eyes on an image. She is planning to complete the real-time portion next week, where eye detection is done on a video stream.
Mohini started designing the basic web app pages and connecting the pages together through various links and buttons. A good portion of her time was dedicated to CSS and making the style of each element visually appealing. Towards the end of the week, she started researching different ways to extract the recorded audio from the user as well as the best way to analyze it.
Shilika focused on creating the navigation bars that will appear across the web pages, which will allow the user to easily go from one page to another. She also began creating databases for the behavioral and technical interview questions and began preliminary steps of the speech processing algorithm. Next week, she will continue working on the web pages on the application and populating the database.
Some photos of the initial wireframe of our web app:
