Meeting Minutes from 24.11.2023

Attendees:

Agenda

We need to define the emotions we would like to detect before we train the detector. Avoid deciding on which emotions we'd like to detect based on the performance of the classifier.
Justify why we chose these emotions
More than anything, the grading takes the effort into account. We can achieve a 5 with only 4 emotions, as long as the final project is mature, well-documented, we have a nice blog, we really describe our effort in the final report, we justify our choices, etc.
In the second feedback session we should have a working prototype - "Most of the systems should be in place"
- Something to show for the first, something for the second
The OpenAI integration could be something that actually increases our grades. However, we still need to have a rule-based system. We should maintain a version that runs without OpenAI.
We could come with a different strategy and get creative for recommending drinks - everything we do on top of emotions can increase the grade
"Extract own features": We just need to have some classifier of our own.