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ARNAVTALWANI/README.md

Hi there, I'm Arnav 👋

Hi, my name is Arnav Talwani, and I'm a student in the Engineering Science program at the University of Toronto, majoring in Biomedical Systems Engineering and minoring in both Artificial Intelligence Engineering and Robotics & Mechatronics. I see the world in an interconnected, multi-disciplinary lens where everything in connected, and I love exploring these connections. For this reason, I don't hold myself from learning about any specific discipline, but currently I'm passionate about applying the principles of Systems Engineering to biomedicine, artificial intelligence, robotics, and everything in between.

I also love acting, film, music production, and am a tech enthusiast. I'm as creative as I am technical and work best at combining these two approaches to problem-solving. In my spare time, I also engage in advocacy work, holding the positions of U-Report Ambassador and Youth Advocate with UNICEF Canada, and I also promote safety in the community through martial arts, myself holding a green belt in Okinawan Goju-ryu karate.

You can reach me at the social media and Linktree in my profile, and you can explore more of my professional work at the links below:
LinkedIn: https://www.linkedin.com/in/arnavtalwani/
Devpost: https://devpost.com/arnav416/

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  1. GridSearchProblem-for-Hiring-Employees GridSearchProblem-for-Hiring-Employees Public

    Designed three machine learning search algorithms (Breadth First Search, Bidirectional Search, and A* Search) to determine the "shortest path" between two users of a recruitment social network plat…

    Python

  2. Data-Imputation-Using-Autoencoder-Model Data-Imputation-Using-Autoencoder-Model Public

    A project employing an autoencoder model to analyze the Adult Data Set from the UCI Machine Learning repository and predict missing information based on dataset trends, such as predicting occupatio…

    Jupyter Notebook

  3. Cats-and-Dogs-Classification-System Cats-and-Dogs-Classification-System Public

    A Convolutional Neural Network (CNN) designed to classify input images of animals as either "cats" or "dogs" using two convolutional layers and the ReLU activation function.

    Jupyter Notebook

  4. Analyzing-GDP-In-R Analyzing-GDP-In-R Public

    This project uses R Statistical Systems to analyze GDP and economic information of various countries from gapminder-like dataframes and modifies those dataframes to include this information.

    R

  5. Seam-Carving Seam-Carving Public

    A seam carving algorithm developed in C to resize images by dynamically calculating paths of least importance between pixels (“seams”) in a given image input and remove seams to reduce image size t…

    C

  6. Autocomplete Autocomplete Public

    Developed an autocomplete algorithm that fills in user inputted strings based on file input of a provided list of words.

    C