This week, I worked on the web application components and the neural network portion. For the web application, I made the css and html for the login and register pages more user friendly and appealing. The design now properly integrates with the rest of the web pages, as well. 
In addition to the css, I continued to work on saving the completed behavioral interview videos on the web page. I have not been able to properly display the video, as a blank video appears in every web browser that I have tried such as Firefox, Safari, and Chrome.
In the neural network portion, I worked with Mohini to continue the code we are using for our baseline (the neural network homework code from the Machine Learning course at Carnegie Mellon). In the beginning, the neural network was predicting the same output for every training and testing data point we provided. After debugging and testing, we realized that the ordering in which the training data is provided has an effect on the final outcome of the predictions. Despite varying the order of the training data, our accuracy of our testing data is still low at approximately a 42% accuracy rate. To improve the accuracy, I decided to implement an additional hidden layer in the neural network. The changes that this will require in the neural network is integrating an additional layer of hidden layer after first hidden layer, initializing weights associated with the neural network, performing a stochastic gradient descent to optimize the weights/parameters, and connecting the hidden layer with the two output classes. I am currently working on applying SGD on the parameters and have been running into index out of bound bugs.
By next week, I hope to have completed this layer and run it to test if the accuracy has increased. I will also continue to research other methodologies to improve the accuracy. I also hope to figure out displaying completed behavioral interview videos in the django webapp. I am behind in this aspect because I intended to finish it this week. In order to get back on track, I will reach out to my team to help me with this portion as I have not been able to figure it out despite trying multiple possibilities that I found through online resources.