Shilika’s Status Report for 10/09/2020

This week, I continued to work on the web application platform, questions database, and signal processing. I completed the html and css of the profile page on our website. This page allows the user to upload a picture of themselves, and contains links to setting up their initial video, picking their skillset, and accessing their previous videos. These links will lead to the pages once we have our facial detection and speech processing functioning.

I also continued to work on the questions database. I completed the behavioral database which contains approximately 100 questions which will randomly be assigned to the user. For the technical database, we are collecting a question, an output example, an output for the user to test their code with, and the correct answer for each question. Additionally, for each category (arrays, linked lists, etc.), we will have easy, medium, and hard questions. So far, I added nine questions with examples, outputs, and output answers using LeetCode and will continue to add questions routinely.

Lastly, I continued the work on the signal processing portion. Continuing the foundation from previous weeks, I gained an understanding of what the input into our neural network should look like. I refined and added to my previous code which stores in a more correct integer array of the audio, breaks the input into small chunks of audio, and outputs the values in a user-friendly format. I worked with Mohini to see if there are any patterns or similarities between each individual letter and were able to find commonalities in the audio signal.

I believe my progress is on schedule. Next week, I hope to continue adding to the technical database and have an input for our neural net. This input will have many iterations of refinement, but my goal is to have proper, calculated values.   

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