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Hey, Hows it going?πŸ‘‹

  • πŸŽ“ Computer Science and Business Double Degree (CS/BBA) student at University of Waterloo
  • πŸ’¬ Ask me about cricket 🏏 , swimming 🏊 , Traveling ✈️ , or Ping Pong πŸ“ via my website
  • 🎡 Let me know if you like Drake , The Weeknd, or Post Malone and maybe we could give each other music recommendations
  • πŸ˜‹ I'm currently working on a project called Fooder that's meant for users having difficulty choosing what to eat. It allows users to swipe through dishes (based off nearby restaurants and dietary restrictions, etc.) and match them with a restaurant

Languages:

C++ C Python SQL JavaScript HTML5 Java TypeScript

Tools & Technologies:

Django Selenium Tensorflow Angular Node.js Docker Kubernetes React Gatsby

Yash Oza's Projects

2048-applet icon 2048-applet

A modified version of 2048 with themed gif tiles and easier Gameplay! Click here to checkout some pictures of the UI.

avatar-the-last-airbender icon avatar-the-last-airbender

A bunch of common little games fit to the Avatar Universe like a Nim themed Agni Kai, Element themed Rock Paper Scissors, Riddles, and more!

biquadris icon biquadris

Biquadris, is a Latinization of the game Tetris. In this case, it is expanded for a two player competition. The game of Biquadris consists of two boards, each 11 columns wide and 15 rows high. The Blocks consist of four cells (tetrominoes) which appear at the top of each board, and drop onto their respective boards.

checkers icon checkers

A non-regulated multiplayer checkers game

covidfree icon covidfree

This project will help reduce the mental fear of catching the worrisome COVID-19 virus because employers can now monitor a given employees temperature fluctuations and determine whether or not they pose a threat to anyone's wellbeing. It was designed to be easily integrated into their day to day lives by collecting the temperature data in a seamless manner, through devices such as an AirPod, which can track your temperature effortlessly while you're listening to your favorite song.

imdb-dos icon imdb-dos

Used BFS and DFS and maximizing conditions to determine the degrees of separation between 2 actors that can be found in the database (gotten from IMDB). Huge credits go to Harvard's Online AI course, since the project was assigned from them.

interactivewebsite icon interactivewebsite

My old Porfolio! I tried having a little bit of fun with it. There's some mystic gold interactive-snow falling from the 'sky' onto 'The Vessel' just how I remember it. This interactive animation was done with Javascript and was inspired by the CodeVault project. It was honestly very finiky to work with, so let me know if you try doing something similar and get issues with it!

kuzu icon kuzu

An in-process property graph database management system built for query speed and scalability.

minesweeper-ai icon minesweeper-ai

Built using Pygame, uses Propositional Logic to create knowledge-based agents to make inferences about the position of mines and determine safe moves. Huge credits go to Harvard's Online AI course, since the project was assigned from them.

pagerank icon pagerank

Engages the Random Surfer Model, a Markov Chain, and iteratively applies the PageRank formula to mimic how search engines like Google display/order search results. Huge credits go to Harvard's Online AI course, since the project was assigned from them.

picster icon picster

An Image repository with login functionality and a gallery view so that all users can see uploaded images in a collage form.

picsterserver icon picsterserver

An Image repository with login functionality and a gallery view so that all users can see uploaded images in a collage form.

question-answering icon question-answering

A Question Answering system based on inverse document frequency similar to asking Siri a question, but limited to the documents given to determine answers. Huge credits go to Harvard's Online AI course, since the project was assigned from them.

shopping-predictor icon shopping-predictor

Used the nearest neighbour classifier and ML with scikit-learn to train a model to determine a user’s purchasing intent based on data from previous visits. Huge credits go to Harvard's Online AI course, since the project was assigned from them.

traffic icon traffic

This project creates a model using neural network layers that can predict which street sign is which. To do this, the project took use of the German Traffic Sign Recognition Benchmark, which contains a huge data base of 43 common street signs. This data was then organized into numpy arrays, and then placed into training and testing sets. A neural network model was then created using many hidden layers (i.e convolutional and average pooling) to train the model on our data set. The model was then finally evaluated and an accuracy percentage of about 97.5% was recorded. Huge credits go to Harvard's CS_50 course, in particular the introduciton to artificial intelligence with python portion of the course. This repository is a project that was assigned to me from this course, so CS_50 has ownership to portions of the source code.

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