AI on Thumbs

Explore AI concepts using just your thumbs!!

Available in the App Store and Google Play Store

Directory Structure

Assets - media, images, fonts, etc. organized by which lesson they are used for.

• Stock is for media used across multiple lessons

Components - contains all the components that are used for advanced functionality (mutliple choice boxes, email prompt, magnifying glass, etc.)

Screens - screens of the app are organized into a folder for the corresponding lesson it is a part of (course_1, course_2, etc.)

• Screens are labeled with their corresponding number (1_intro.js, 2_review.js)

App.js

• Imports all the functions from their .js screen files (Course2Intro --> './screens/course_2/1_intro')
• Chronologically orders screens (as per their number) in the body of App.js to run everything in order

Protocols for Development

• Create a branch for the lesson that you/your team is working on (i.e. course_2)
• For each individual contributor, create your own branch to work on your screens, make revisions, work on anything
• Check your screens (QC) on at least two different devices to make sure it all looks good
• Lint the code with a linting tool before submission (yarn standard --fix)
• After revisions are made, create a PR (Pull Request) to merge your branch into the course branch (i.e. course_2)
• If revisions are necessary, make them and commit back to your individual branch and request a review
• All code should be reviewed by an EM
• EVEN IF IT IS A COMMA, MAKE THE PR

Installation

• Clone the repo
• Install dependencies with yarn
• Run the app with yarn start

Course 1: Facial Recognition Algorithm I

Explore the beginning concepts of facial recognition with interactice tutorials and games! See how computers SEE images and recognize patterns.

Authors

• Alexander Zhou
• Axel Mora
• Jackson Choyce
• Mitch Cutts
• Rohan Joshi

Course 2: Facial Recognition Algorithm II

Delve deeper into the world of facial recognition and its advanced ideas!

Authors

• Advay Aravind
• Alexander Zhou
• Alex Fry
• Mitch Cutts
• Rohan Joshi
• Sanjay Manoj
• Zac Brammer

Course 3: K Nearest Neighbors I

Explore how distance influences our observations of the world around us through the idea of nearest neighbors, an important part of the KNN algorithm.

Authors

• Blake Martin
• Phakawat Wangkriangkri
• Ansh Chaurasia