For this project we will be working with a group of 4 to build a dog kennel. We wil be using all the different parts of the design proccess to complete this task
These are my four initial sketches. My initial sketches were made after I did research on different modern houses and tried to incomperate them into my design.
For this assignment we made a design in which we practiced scailing down our designs. I used my abilities aquired in the first semester to make this design.
For this sketch I added all of the different parts of my four initial sketches to create my final sketch. For this sketch I wanted to make it a barn modern style which could be used as a seat as well as a dog house.
For this I made different onshape models.
This is the first model that I have made for the dog house build. I first printed it out on onshape , then I used cardboard and glue to put it together.
This is the three angles of my onshape second prototype.
This is a video of my ada fruit shining with a red light
This is a vid of my module lighting up.
This is a picture of me using my coding abilities I learned from class to create a smiley face on the rgb board.
The goal of my model is to be able to identify my 23 classmates with an accuracy of 90% or above. The data that we used to train the model was a google drive file that has more than 100 images of each of our classmates. The model uses the images from the file and learns from them, then after it trains the model. The Training allows the compter to correctly guess who is in the image. My model can correctly guess the image with an accuracy of 99.9%.
Data structures: Ways to organize and store data in a computer.
Loops: Repeating blocks of code to automate tasks or go through data.
Functions: Blocks of code that perform specific tasks or calculations.
Image from the perspective of a computer: A collection of tiny colored dots on a screen or in a file.
Machine Learning: Teaching computers to learn from data and make predictions.
Building a model: Creating a representation of a real-world problem or system.
Training a model: Teaching a machine learning model by giving it data and /improving its performance.