Chester’s Status Report 10/22/2022

What did you personally accomplish this week on the project? Give files or photos that demonstrate your progress. Prove to the reader that you put sufficient effort into the project over the course of the week (12+ hours).

In the preceding week before fall break, most of our time working on the project was dedicated to the development of the design review report. This was slightly more time consuming than anticipated, but it was worth the thorough examination and attention to detail. With more than half of the time spent on the design report, the remaining time was spent writing out the spell checking algorithm and beginning initial error checking. The basic foundation is in place but there is still a lot of formation that needs to be done in order to be successful in our final product. Initially, the infrastructure began with word concatenation, and then evolved to funnel words into the post processing algorithm.  

Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?

With the fall break, I think it wasn’t entirely considered into the plan as a full on break, and this might affect the overall segmentation of work sequentially. This being said, although we might be taking more time off this week than usual, there is slack built in that accounts for the time off. This slack is also for challenges faced, but we are currently on track and developing our work well. I think the next week will be essential in making sure we stay on track, and meet any necessary deadlines in work. 

What deliverables do you hope to complete in the next week?

Like I mentioned above, this week will be essential in straightening out and rough edges after the break. Coming back together, we will hit the ground running, and most likely work in parallel to make significant strides in our work. For me, this would involve touching up the spell checking algorithm so that it is working at a reasonable level, as well as developing the post processing infrastructure into a smooth and more full pipeline. This includes the coding of the text to speech possibly if time is available. 

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