LSTM Feedback

At Night at the Museum, a specific parent who was coincidentally a professor of machine learning at UCSD, asked us questions along the lines of:
How accurate and reliable is the LSTM model in predicting stock prices?
Did this align with real world data?
How did you ensure diversity and transparency about the training? Are we doing this ethically?
He gave us feedback on how we could train the model using Python and outsource all the training to a server, separate from AWS

UI Feedback

From the general list of parents, they were a big fan of the UI
Suggested to add visuals that would help explain AI and how the stock market works.
We will touch it up and make it easier to understand in the future

Grows:
- We could improve on the fluidity/transitions between people when presenting
- Each individual feature, although connected, and unique specific parts
Glows:
- Engaged audience with visuals
- Easy to follow UI
- Good eye contact
- Asking them questions
Personally, I could have improved by taking more of an assertive role and explaining the big idea of the project, instead of just my original feature

Tanay & Shubhay in CSP made a spotify clone and specifically utilized the UI from spotify
Bhargav B, who is in media production, made a very impressive edit of LeBrom James