Research Assistant
@ Llettonna
Helped to develop machine learning models and a neural network to predict the effective of Cognitive Behavioural Therapy (CBT) on mothers experiencing postpartum depression (PPD). We reached accuracies of around 80%. Subsequently, co-authored the research poster and research paper (expected publication April 2021)
Deep Learning Developer
@ Llettonna
Developing deep learning models to predict emotions from infant faces in hopes to help with their psychosocial health. Working with team members to do coding sessions collaboratively to train, test and improve the accuracy of our models. Hoping to compile our work into a research paper as well!
RBC Innovation Challenge
Helping the elder generations during the struggles of COVID-19
Working with 4 other RBC co-op students, we were asked to analyze the prompt and develop a solution complete with business model. My partner and I worked together on the product design, understanding the advantages and limitations of the current RBC app with a UI/UX lens; we used this to develop our solution, keeping the end goal in mind.
To Do List
NodeJS, ExpressJS, EJS, MongoDB, Mongoose, HTML, CSS, JS
The to do list uses MongoDB as the backend to keep track of what
the user has put into the to do list, giving the ability to
revisit the site anytime and never losing their progress. Users
also have ability to create specific lists by adding
/newListName in the URL with
newListName being the name of the list that they
create.
SmartCap
Designed to help a patient with limited joint movement
As apart of my design course, we worked directly with a student who had an undiagnosed condition where she had limited movement. She noted a significant difficulty with her hands and the fact she required to take a variety of pills to help her. My team and I designed and easy-to-use product that would not require much force while still ensuring the safety and protectiveness of her pills.
Read about the work flow