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noahserhan/README.md

๐Ÿ‘‹ Hi, I'm Noah!

Computer Engineering (Innovation Stream) Student @ Queen's University

๐Ÿ”ญ I'm currently working on some exciting AI and ML projects, including developing a model to detect and monitor oil spills from SAR satelite imagery, as well as an NLP model to translate brain signals captured via EEG into text.
๐ŸŒฑ Learning about NLP and GenAI.
๐Ÿค– Looking to collaborate on any projects and hackathons!
๐ŸŒ Passionate about creative problem solving, social betterment, and innovative AI powered solutions!

Socials:

LinkedIn Medium

Tech Stack:

C C++ HTML5 Java JavaScript Python AssemblyScript AWS Anaconda Django Express.js NodeJS Qt React MongoDB Figma Keras Matplotlib NumPy Pandas PyTorch TensorFlow scikit-learn Git GitHub GitLab Arduino CMake Notion Raspberry Pi Jira

GitHub Stats:


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  1. ResNet-Pet-Nose-Localization ResNet-Pet-Nose-Localization Public

    Using a modified version of ResNet 18 to create "NoseNet"; a model that is trained on a subset of the oxford-iiit-pets dataset to recognize the center of pets' noses.

    Python

  2. GuardDrive GuardDrive Public

    Developped during the QHACKS 2023 hackathon, GuardDrive is a project that utilizes computer vision and machine learning to detect and prevent distracted driving, making roads safer for all by reducโ€ฆ

    Python

  3. YODA-Car-Detection YODA-Car-Detection Public

    YODA (You Only Detect Anchors), a modified version of YOLO, is used in this case to detect cars and place them in bounding boxes within an image.

    Python

  4. MLP-Autoencoder MLP-Autoencoder Public

    MLP Autoencoder developped with Pytorch and trained on MNIST

    Python

  5. ukraineProject ukraineProject Public

    Web application that facilitates the matching of Ukrainian refugees with hosts who have available rooms/houses in which these refugees can stay.

    JavaScript

  6. CIFAR-100-Image-Classification CIFAR-100-Image-Classification Public

    Image classification models: comparing the performance of a vanilla model to a modified one.

    Python