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Achievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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Achievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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Aidan-B1409/README.md

Hi there 👋

I'm an AI/CS doctoral student @ Oregon State University. My research focuses on real-world, practical applications of machine learning. Currently, I work on the development of image segmentation models for food and food waste recognition. I led the design and development of the Smart Compost Bin for automatic household food waste measurement. In the past, I developed a BERT-based sentiment analysis NLP model for music emotion recognition from social media discourse.

If you want to learn more about my projects and publications, you can check out my website at aidanbeery.com

My GitHub Stats

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  1. Soundbendor/FoodWasteDetect Soundbendor/FoodWasteDetect Public

    Contrastive Image-Language Models for Open-Vocabulary Food and Food Waste Detection

    Python

  2. Soundbendor/CompostBinFirmware Soundbendor/CompostBinFirmware Public

    Embedded firmware for the Smart Compost Bin

    C++

  3. Soundbendor/CompostBinServer Soundbendor/CompostBinServer Public

    API Server and MongoDB Database for the Smart Compost Bin.

    Python

  4. Soundbendor/music_discourse_prediction Soundbendor/music_discourse_prediction Public

    Deep NLP model for music emotion prediction through social media sentiment analysis.

    Python

  5. NMFMusicSep NMFMusicSep Public

    Accelerated MU and HALS for audio source separation. Final project for AI-586 Applied Matrix Analysis, Oregon State University, Winter 2025

    Python

  6. NeutronFluxVisualization NeutronFluxVisualization Public

    Visualizing Neutron Flux data from MCNP 6.2 as a scalar field using contour line techniques. Completed as part of CS-553 Scientific Visualization @ OSU - Fall 2021

    C 1