About me

Fracture Risk Calculation Tool

This is a website me and my team made to calculate the risk of a fracture using two differnt machine learning algorithms. The first algorithm was created by the pervious students the term before us using the random Forest classifier. The next ML algorithm was made by me using BoostedTreesClassifier with a bit better accuracy.

Capstone Project

Main Menu

Selecting all the parts

Once you selected all the parts you will be able to place them by clicking on the screen

Tip menu giving information about the last part placed

Before Load

After Load

This is my capstone project; the goal of the application is to help the user build a full pc in augment reality. This app simplifies the process of building a PC by offering a step-by-step AR guide and interactive visuals for part assembly, and compatibility checks. Our application was built using unity and deployed to android.

RBAGS

In high school, I dedicated my spare time to developing a game using Pygame. The core concept of the game centers around rotating a square using the 'R' key to ensure that its bottom color matches the next platforms color. The objective is to travel as far as possible.

Space Balls - Grade 12 Project

This is just a simple Game that I made back in high school. It was created using Java and then converted to JS. The objective is to shoot the balls floating around and stay alive as long as possible.

Nature Spotter

Powered by Machine learning

First Screen you see when you boot up the appliction

Can select photos from the gallery or take photo with the build in camera

If the image has location data you select from the gallery it will be displayed on the map, or if you take a picture with the camera it will also display on the map

Gallery View of all the photos you have select from the gallery and have taken

Detial view of the flower you select from the gallery

Populated home screen

Populated gallery view

GrocerEase

Group project with Aurdey and Xiaoya

First Screen you see when you open the appliction

Add view screen, where you are able to add a food item via name or with ML by taking a photo

Shows the confidence level of the ML algorithm for demo purposes

Will auto fill the name field with the detected food

Able to when the appliction gives you food expiry notifcation

Location view of nearest grocery store

Opened view of maps from our appliction

Able to search for all foods

Searching for donut

This was group project with two other members Audrey and Xiaoya, our goal was to design an application that aids users with being familiar with items in their fridge, which allows them to be able to restock easily and efficiently. Users may add food through taking pictures and having machine learning add recognize the type of food to add . In the backend, it will be based on Firebase. Then, if users have low stock or their food is about to expire, an alert will appear as an icon throughout the app, along with a pop up that will appear. We also implemented a feature for the users to have the opportunity to utilize the location feature to find their nearest grocery store and use their preferred map application to guide their way via car. I worked on the ML part of the application as well as camera implementation.