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* members in attendance:
    *    Everyone (Alexander, Egemen, Ethan, CJ)
![](https://i.imgur.com/RXbzfxq.jpg)

* 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
