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Hi there 👋

🌱 My name is Arsh Kadakia. I am a software engineering intern on PEY at Aercoustics. I also study in the Engineering Science program at the University of Toronto. I am majoring in Machine Intelligence, where I am learning in depth about machine learning, deep learning and data science techologies.

👯 In my spare time, you will find me learning and applying different full-stack technologies. I am currently working with a company, Mastermind Children's Academy, to build a responsive web application that is able to generate valuable consumer insights.

🔭 I am also a project director at U of T Machine Intelligence Student Team (UTMIST), where I led a group of 5 developers to build a consumer-friendly home-price predictor. You can check our work at (may take 2-3 minutes to load).

📫 Feel free to reach out and I will get back to you right away!



  1. Fitness-AI Public

    Top 5 placement in MakeUofT 2020. Software that uses machine intelligence to detect joints and give real time feedback on how to fix your form for different types of exercises.


  2. UTEK2020 Public

    3rd Place at the UTEK 2020 Programming Competition.

    Python 1 3

  3. Omakase Public

    Product for HackThe6ix that uses machine learning within an app to recommend food recipes from simple fridge images. Received MLH's Best Use of Google Cloud prize.

    Kotlin 1 2

  4. DaisyHacks Public

    Image segmentation and text recognition on images of product flyers. Segmented for individual products and determined discounts and prices.

    Python 2

  5. Chess player project. Minimax with alpha-beta pruning for 4 moves under 10 seconds. 5 moves under a minute.


  6. Python 3

290 contributions in the last year

Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Mon Wed Fri
Activity overview

Contribution activity

October 2022

Created 2 commits in 1 repository
15 contributions in private repositories Oct 3 – Oct 4

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