Teaming
This week we have made a Github repository for our project’s code files.
Each member has made progress on some of the assigned tasks, which will be explained in detail in everyone’s status reports. A simple version of the natural language processing system has been created; it is able to detect menu items based on basic sentence structures (such as “I want one hamburger” / “A cheeseburger, please”), and we are still in the process of debugging and determining the ideal approach to process more complicated grammar structures and tackle edge cases.
While working on our individual tasks next week, we will write the design review report together.
Risks
The most significant risk is falling behind the schedule for our project, since most of the work is taking longer than expected. We will make sure to allocate enough slack time before the final deadline to accommodate potential schedule changes. We also have decided to continue working on the project over spring break to make more progress.
Design Changes
Since it’s unlikely that we will be able to get AWS credit through the capstone course, we plan on switching our cloud database to Redis. We also considered Replit, which an instructor suggested. However, the free version only allows us to create public repositories, which doesn’t satisfy one of our basic requirements. Fortunately, this change doesn’t affect our design much as our project only relies on a few basic functionalities that are common among most noSQL cloud databases. In addition, since we have a few spare infrared sensors, we might be using multiple sensors to detect the presence of a customer in order to increase detection accuracy.
Schedule
We have updated our schedule according to the current week’s progress.
The setup of the infrared sensor is shifted to an earlier date since the Raspberry Pi has already arrived.
The natural language processing system is taking longer than expected to program, so we have extended the timeline for a week and will potentially still work on polishing it when integrating the database and NLP system.
