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2022 Spring Final Assignment Proposal

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Chloe Choi edited this page Apr 28, 2022 · 13 revisions

Final Assignment Proposal

The final assignment is a 2-week assignment that includes a short project proposal, development, and presentation. The final assignment presentations will be on week 7(May 5th).

The final assignment could be any project that explores how machine learning models can be used in interactive/creative projects. It can build off of or is inspired by the concepts we've covered in this class. Feel free to think non-traditionally. You can collaborate with anyone in any class, or make it a part of a larger project integrated with a different class.

Proposal Guidelines

  • Project title.
  • One sentence description: Can you summarize your idea in one sentence? Stick to the facts -- what are you planning to make?
  • Project abstract: a short description of your project.
  • Interaction sketch: a sketch of how people will interact with the project
  • Visual reference: Drawings, photos, artworks, texts, or other media that relate to your idea.
  • Code reference: some tutorial guides/code examples that might be helpful when it comes to bringing this project to life

Document the above elements in a blog post. Add links to your blog post below.

Guidelines for Giving Proposal Feedback

  • Is the idea clear? What do you understand / not understand?
  • Is the scope reasonable? Can it be done in such a short period of time?
  • Any suggestions for relevant tutorials, examples, or other resources?

Some suggestions:

  • Start with a simple idea, do some experiments with it, and then add more features to it. Keeping things simple and small in scope is a plus. If your project idea is a big one, consider documenting the larger idea but implementing just a small piece of it.
  • If you get stuck on the code or other technical issues, ask for help in advance from residents and teachers.
  • If your project involves training a model, leave some extra time for collecting the data and training.
  • Leave some time for documentation. The live demo doesn't always work, you could record a video and make some screenshots in case the demo breaks at the last minute.

Get started:

You can start your project proposal by thinking about -

  • What kind of input and output are you interested in? Figjam from week 5.
  • What model do you like the best? any model from Tensorflow(Tensorflow lite), ml5js, Tensorflow.js.
  • Are there some existing, related or similar project: drawings, images, videos, sounds, text
  • Are there some code examples that might be helpful: your own sketches and/or other people's sketches.
  • The context of your project? Who's it for? How will people experience it? Is it interactive? Is it practical? Is it for fun? Is it emotional? Is it to provoke something?
  • Do you have any questions, or need any help? Conceptually and technically.

Some sample ideas to get you started:

If you have trouble coming up with ideas, here are some sample ideas to get you started.

  • A smart exercise armband that detects your arm movement
  • A voice-activated lamp
  • A sign-language speaker
  • A machine that only turns on when you wear a mask/safety glasses
  • A candy sorter

Inspirations:

Resources:

Add your name/link to your final proposal below

Lorena https://loloitp.blogspot.com/2022/04/mlxarduino-final-proposal.html Chloe Choi https://www.chloechoi.art/itp/machine-learning-for-physical-computing/#Week5=

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