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anaya33/README.md

typical tech stack, Python and Python libraries, C++, C-sharp (Unity)

I like when things are visual (I usually use Unity, colab & Jupyter for visualization)

C++ (low-level code, firmware, hardware integration)

I like committing to open source libraries and open source projects

current project (Unity and BrainFlow integration tying into system for measuring fine motor control within immersive reality using wearable sensors)

past projects (data analysis, signal processing, hardware integration)

explore more of my projects below

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  1. Cogniguard Cogniguard Public

    EEG signal analysis & visualization tool

    Python 1

  2. ssvep-bci-classification ssvep-bci-classification Public

    Forked from mudcontract/ieee2025hackathon_g18team

    Brain-Computer Interface system classifying SSVEP signals from EEG data using deep learning. Built for IEEE 2025 Hackathon.

    Jupyter Notebook 2

  3. Sollertia Sollertia Public

    Forked from gstand/tactilis

    a system for measuring fine motor control and sensorimotor behavior in XR using wearable sensing

    C#

  4. brainflow brainflow Public

    Forked from brainflow-dev/brainflow

    BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

    C++ 1

  5. OpenBCI_GUI OpenBCI_GUI Public

    Forked from OpenBCI/OpenBCI_GUI

    A cross platform application for the OpenBCI Cyton and Ganglion. Tested on Mac, Windows and Ubuntu/Mint Linux.

    HTML 1

  6. transaction-pattern-analysis transaction-pattern-analysis Public

    This project explores patterns in transactional data, focusing on how variables like time, quantity, and pricing interact. The goal was to understand how to clean, structure, and analyze imperfect …

    Jupyter Notebook