* members in attendance:
* Everyone (Alexander, Egemen, Ethan, CJ)

* what worked well
* We made progress on narrowing down and improving the figma design of our UI and application
* We picked various color themes and font themes to make our application look professional
* We ironed out downloading videos from the backend and transfering files between our frontend UI and the server side
* We played around more with various transcription models, as well as sentiment analysis models on the transcripted audios form those
* We fixed the error that was occurring when uploading a video from the frontend, and we fixed the "Select a File" button which could not be clicked before
* what didn't
* Implementation of new design and planning
* Not much progress on redesigning the different pages
* Need to create more pages on grayscale prototype
* self assessment on progress
* We are on track in terms of our milestones, we are finalizing designs and ironing out infrastructure that we need to make a successful product
* We are working towards our final goal for this term of getting an application that can analyze a podcast clip and generate sentiment analysis; we are doing pretty well
* SPRINT 2: we have connected frontend to backend:
* file can be uploaded from frontend to backend, and then downloaded from backend to frontend
* lay out *each* of the following weeks till end of term with brief goals for each
* current week:
* refine clips to start at the beginning of a phrase/idea
* create a video clip given timestamps generated by AI
* make the landing/home page
* week 8:
* Implement designs from our Figma into the frontend
* Iteratively re-design Figma
* Iterate on the AI algorithm for emotion detection
* Figure out where/how to deploy functions on cloud
* week 9:
* Continue to implement designs from our Figma
* Integrate deployed functions with frontend
* Add security measures to deployed function API