What are the most significant risks that could jeopardize the success of the project? How are these risks being managed? What contingency plans are ready?
Based on the first few weeks, we had not been able to come together as a team for a concept that makes sense and works for all of us until today. To manage risk of further delay, making sure to make and keep short term goals to keep the project on track will be imperative.
Additionally, One of the key components of this project is the generative music model. The goal is to implement a transformer based model from scratch in pytorch, but due to complications such as convergence issues the option to import models is present as a contingency plan. Imported models can be instantiated with or without pre trained weights and even pre trained models can be fine-tuned according to project specifications.
Were any changes made to the existing design of the system (requirements, block diagram, system spec, etc)? Why was this change necessary, what costs does the change incur, and how will these costs be mitigated going forward?
We have decided to change our project to an ML enhanced loop pedal for guitarists. The change was necessary because there was not enough user interaction with the ML model in our previous project idea.
Provide an updated schedule if changes have occurred.
This is also the place to put some photos of your progress or to brag about a component you got working.