Final Class 2020 Fall

Notes

Final assignment presentations are on Tuesday, Dec 8th, at 6:30 - 9:00 pm. Everyone will have 10 mins to present their project and get some feedback from the guests. Here a list of things to talk about during the presentation:

• Your name and background
• Your idea, a brief description of your final project
• Audience/Context: Who is this for? How will people use/interact with it?
• Demo your project
• What ML model did you use?
• What's your design and development process? Anything you learned during the process
• Next steps: If you had more time to work on this, what would you do next?

Please document your final assignment on your blog or GitHub pages, and add your link below. This is due Tuesday, Dec 15. For project documentation, please include the following:

• Title
• Sketch link
• One sentence description
• Project summary
• Inspiration: How did you become interested in this idea? Quotes, photographs, products, projects, people, music, political events, social ills, etc.
• Process: How did you make this? What did you struggle with? What were you able to implement easily and what was difficult?
• Audience/Context: Who is this for? How will people experience it? Is it interactive? Is it practical? Is it for fun? Is it emotional? Is it to provoke something?
• User testing: What was the result of user testing? How did you apply any feedback?
• Source code
• Code references: What examples, tutorials, references did you use to create the project? (You must cite the source of any code you use in code comments.
• Next steps: If you had more time to work on this, what would you do next?

Feedback google doc

Link

Presentation Schedules

Please add your name/link to your final project below. This is a random order, feel free to move your name around.

• [Your full name](Your portfolio link/twitter), [Project name](Blog link with images/videos), Project short description, [Live demo](optional, live demo link)
• 6:30 Welcome!
• 6:32 Bilal Sehgol
• 6:42 Fanyi Pan
• 6:52 Ji Park (https://www.jipark.org/), Find a painting (https://jiparkitp.tumblr.com/post/636655121664704512/final-project), This web app uses image recognition to identify the image and matches similar painting from the MET.
• 7:02 Julie Lizardo Toxic Tweets, A website that visualizes and compares the toxicity between 2 groups of real-time tweets containing specific keywords.
• 7:12 Pablo Fernandez
• 7:22 PeiYu(Michelle) Sun, Presentation || Guitar: Tuner / Snake Game || Ukulele: Tuner / Snake Game
• 7:32 Ruilin Huang, I got nothing to do - A virtual forest where all users become birds

BREAK 7:42 - 7:50 (8 mins)

• 7:50 Yen Chen
• 8:00 Sihan Zhang Music Rings
• 8:10 Jeeyoon Hyun, Doodlering
• 8:20 Tianjun Wang Rest of words
• 8:30 Philip Cadoux Pixel Topographies, Pixel Topographies uses machine learning to generate elevation maps based on Connecticut topography, then creates a tangible 3D representation of that data
• 8:40 Ziyu Gao ZOOM BYEBYE
• 8:50 KJ Ha, Guess the Emoji, An interactive game designed to stimulate logical thinking and agility through an entertaining interface, Web App, Live demo