At WearHacks 2017, my team developed an automated teleprompter for the Pebble smartwatch, winning the first place prize. Pebble Prompter aims to simulate prompters offered to news anchors in major news corporations e.g. CBC. These prompters are controlled by humans, allowing for variations in the speed of the teleprompter to enable the news anchor or lecturer to speak naturally.
A New Approach to Motif Discovery
I created a novel algorithm, in Python, that used a comparative approach to identify motifs in DNA sequences up to 10x faster than previous algorithms. I have won a gold medal at the regional science fair. I also won a silver medal, several scholarships and the Statistics Society of Canada Award at the Canada Wide Science Fair in Regina, Saskatchewan.
I developed a game similar to Tetris using the Tkinter graphics library in Python (2016 - Grade 11 summative project).
Looking @ Lactose
I isolated and measured the amount of lactose content in different types of milk through the use of acetic
acid, calcium carbonate and ethanol. I won a gold medal, $500 SHAD scholarship and Chem 13 award (Best Chemistry project) in the Waterloo-Wellington Science and Engineering Fair (2016).
At the Tech Retreat hackathon in the University of Waterloo, my team made an Android application that allows user to host and find events geographically (2015).
I made a game similar to PAC-MAN, in which the player tries to reach a treasure chest while avoiding enemies, collaborating with the computer science club members at my school. I mainly worked on the enemies' artificial intelligence (strategies for attacking the player) in which I implemented the A* algorithm for pathfinding (2015).
I measured the amount of electrolytes in various juices by creating a circuit which was bridged by the juice I was testing. I won a gold medal, Best in Division award, $500 SHAD scholarship and Sir Isaac Newton award (Best Physics project) in the Waterloo-Wellington Science and Engineering Fair (2015).
Happy or Sappy
At T.Hacks in Toronto, my team developed a program that analyzes twitter data in a geographical region to determine which areas are happy/sad. This can be used to analyze the mood of populations after major events like a natural disaster or the Olympics. We came 2nd place at T.Hacks (2016).
With the US election in a few days, my team, at ECHacks in Trent University, decided to analyze twitter data in order to see how close emotional sentiment matches political parties e.g. are Democrats always happy? (2016)
At Hack Western, in Western University, my team made a program designed to reduce wait times for walk in clinic patients by giving them real time information for clinics near them. Doctors can easily input their data and update the database instantly (2016).
Avro Arrow Club
I am part of the Avro Arrow Club (car club) at my school. We design, build and race cars such as the one shown in the picture above. We use SolidEdge and AutoCAD to design our cars.
At SpartaHacks, in Centennial Collegiate Vocational Institute, my team created a program that allowed users to see correlations between the sentimentality values (happy/sad) of a specific twitter user and see if they correlate to temperature values or stock values. We came 2nd place (2016).