Project 1 Robot Complete and Moving

Project 2: AI Face Recognition Model

1) The goal of my model is to be able to recognize faces with a 90 percent accuracy

2) To  train the model, I used the dataset train_labels and train_images. these datasets are filled with images and their corosponding labels that the AI can use to train.

3) My model takes in images of a faces and outputs who it thinks they are as well as  the probability it is correct.

4) my model has 40 epochs and 3 layers with 330 neurons each

5) my model preforms around the mid 90's in terms of accuracy on the training dataset and 80 percent on the test dataset.

You can find my model here.

Skittle Sorter Project

Over this semester, we have researched designed how to make a skittle sorter. We researched skittle sorters on the internet, sketched our ideas, and assembled prototypes of our components. We also had to created most our code with little to no help from our teachers aside from a small starting template, all of our coding skill had to come from research or past projects.