This project will help high school volunteers:

• Learn the basics of Python programming, Neural Networks, and Convolutional Neural Networks
• Learn about Machine Learning (ML) applications to image classification (GANS etc)
• Build a Graphical User Interface that will teach/demonstrate to elementary school students how a neural network works

The next wave of technology will make intelligent decisions. From smart voice assistants like Siri or Alexa to autonomous driving programs, these intelligent programs are becoming smarter and driving a new generation of solutions. At the center of this movement is the study of machine learning. In this project, we want to encourage students not only to create machine learning models but also to get a deeper understanding of how these programs learn patterns. We hope students will be able to develop image classification programs and develop visualizations to explain their models to others.

The developed software should be easy to deploy in a classroom setting and should incorporate curriculum elements directly in its user interface, allowing students to self-guide their learning with minimal input from an instructor. The software should include interactive elements that introduce students to the fundamentals of data representation on a computer and the basics of neural networks. The software should also provide students with examples of image classification networks, convolutional neural networks, and generative adversarial networks that familiarize them with key concepts and terminology, such as feed-forward, training, and back-propagation in a way that is relevant to real-world applications. The software should use neural networks or layers that are trained in real-time whenever possible to provide each student with a unique experience but should avoid subjecting users to excessively long wait times.