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arshinmar/README.md

Hi there ๐Ÿ‘‹

๐ŸŒฑ 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.

๐Ÿ‘ฏ 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.

๐Ÿ”ญ 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 real-value.ca (may take 2-3 minutes to load).

๐Ÿ“ซ Feel free to reach out and I will get back to you right away!

Website: arshkadakia.com
LinkedIn: https://www.linkedin.com/in/arsh-kadakia-5377a214a/
Mail: [email protected]

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  1. Fitness-AI 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.

    HTML 1

  2. UTEK2020 UTEK2020 Public

    3rd Place at the UTEK 2020 Programming Competition.

    Python 1 3

  3. Omakase 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 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 Chess-Player Public

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

    Python

  6. RealValue-Local RealValue-Local Public

    Python 3