* members in attendance:
- [x] Liam
- [x] Cam
- [x] Noah
- [x] Alex
- [x] Josh
* what worked well
* We successfully trained recommendation model, found method to interact with Python, and display recommendations to users.
* We started a social feed feature. At the center of the feed are individual posts consisting of pictures and captions for users to interact with others' reading journey/review.
* We succesfully got the social feed scrollable with the rest of the page remaining fixed, as shown below:
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* 
* 
* On track to use Google Books API and Tensorflow model for user-specific recommendations
* Most of the pages are created in some form
* what didn't
* It can be difficult to make the final product look good using HTML. Next week we'll use Tailwind/Chakra to speed up the design process
* Currently, we are prioritizing the functionality of our website. As a result, our design improvements will lag behind as we first lock down the functionality we'd like to have for demo day
* self assessment on progress
* where are you in relation to progress towards product and milestones?
* Overall, on track for product MVP; we are almost done with a workflow of searching, viewing book details, and browsing recommendations
* Met all initial expected milestones
* give an estimate of how far towards your goals you are, do you think you're on track?
* Have reached out initial set of goals, but with some re-evaluation, want to create some functional social components before the end of the term
* Currently working on stretch goals, as the core value-add of PageTurner relative to existing products is the ability to make reading into a social activity. Current workflow is similar to status-quo
* lay out *each* of the following weeks till end of term with brief goals for each
* Week 8: Testable MVP
* Thorough testing of completed features to eliminate bugs that prevent demonstration
* Frontend: integrate Tailwind/Chakra to improve UI, finish navigation system for search --> results --> individual book information (currently listed as separate pages)
* Backend: Increase amount of content in DB, potentially introduce user-specific recommendations and Google Books API, convert title lookup to ISBN
* Week 9: Testing Plan / User Testing
* Engage variety of users to get feedback
* Test all components of application
* Continue usability and consistency work on front end
* Prepare for demo day
* briefly summarize any other topics/discussions
We're working to move away from spending most of our time on existing features and instead work more to gamify reading/create social component around PageTurner. Beginning social feed and hoping to have simple workflow for demo day. Other major functionalities (browsing, searching, etc) are done, so the social components will be the major focus of next term.