# Final Project Presentation Requirements

You must prepare a 10-minute presentation for your final project, with an additional 2 minutes expected for questions. 

While there are no exact requirements for the presentation, your presentation should include the following:

1. Introduce your problem: 
   1. What is the problem you are trying to solve? 
   2. What are the current solutions (if any) for the problem? 
   3. Why is a deep learning model a good choice for your problem?
2. Technical analysis of the problem
   1. How did you approach solving the problem using deep learning?
   2. Which loss function did you use?
   3. What are some key DL choices/decisions you had to make? 
   4. If you encountered problems, what did you do to solve them?
   5. How can you relate the problem to what you learned in class?
3.  Results / Future Work
   1. Show your results/improvements from the known model or comparison 
   2. How did you measure success? Why did you measure it that way? 
   3. What are some ways you believe could improve in the future?

You should expect similar/related questions during the questioning phase. You will be graded on the clarity and technical depth of your presentation and responses to the questions. 

We specifically look for:\
\- Did the student understand the problem they were tackling?\
\- Did they make an informed decision about their approach to the solution?\
\- Do they understand the specific details of their implementation? 

 


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