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arkanivasarkar/README.md

๐Ÿ‘‹ Welcome to My Digital Lab โ€“ Arkaniva's GitHub ๐Ÿš€

+                          Bioengineer | AI Sorcerer | XR Architect | Medical Innovator                            

๐Ÿง  About Me:

๐Ÿ”ฌ Engineer by Training, Scientist by Passion, Innovator by Choice
๐Ÿ’ก Merging AI, XR, and Bioengineering to revolutionize healthcare & surgical technology
๐Ÿฆพ Developing cutting-edge algorithms for medical imaging, robotics, & 3D visualization
๐Ÿ•ถ๏ธ Exploring Augmented & Mixed Reality to build next-gen surgical guidance systems
๐Ÿ”ฅ Obsessed with computational intelligence, deep learning, and immersive simulations
๐ŸŽฏ 2025 Mission: Master 3D Programming & XR-driven AI for MedTech breakthroughs


๐Ÿ› ๏ธ Tech Arsenal:


Python

MATLAB

C

C++

C#

R

tableau

PowerBI

MongoDB

SQL

TensorFlow

PyTorch

Google Cloud

Azure

AWS

Blender

Unity

Ansys

CREO

Qt

๐Ÿ”ฅ GitHub Stats:


๐Ÿ—๏ธ Mind-Blowing Projects:

๐Ÿš€ autoBayesian โ€“ AI-driven Bayesian inference automation
๐Ÿ•ถ๏ธ BeNAV โ€“ Augmented Reality Biopsy Navigation (recognized by Siemens Healthineers & CGI)

Check out my repositories for more breakthroughs! ๐Ÿงฌ๐Ÿš€


๐ŸŒŽ Connect & Collaborate:


๐Ÿ”ฅ Thanks for visiting my digital lab! Let's build the future together. ๐Ÿš€๐Ÿค–

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  1. BeNAV-Biopsy-through-Enhanced-Navigation-and-Augmented-Visualization BeNAV-Biopsy-through-Enhanced-Navigation-and-Augmented-Visualization Public

    A software prototype for breast biopsy needle navigation and guidance through a augmented reality viewer

    C#

  2. Retinal-Vessel-Segmentation-using-variants-of-UNET Retinal-Vessel-Segmentation-using-variants-of-UNET Public

    Retinal vessel segmentation using U-NET, Res-UNET, Attention U-NET, and Residual Attention U-NET (RA-UNET)

    Python 109 21

  3. ECG-Anomaly-Detection-Using-Deep-Learning ECG-Anomaly-Detection-Using-Deep-Learning Public

    Ensemble RNN based neural network for ECG anomaly detection

    MATLAB 48 9

  4. EEG-Data-Augmentation-using-Variational-Autoencoder EEG-Data-Augmentation-using-Variational-Autoencoder Public

    Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals

    Jupyter Notebook 49 10

  5. Bacterial-Cell-Classification Bacterial-Cell-Classification Public

    Bacterial cell classification into gram positive and gram negative using CNN

    Python 3

  6. RNAseq-Data-Analysis-Pipeline RNAseq-Data-Analysis-Pipeline Public

    Pipeline for analyzing RNAseq data of human and mouse - beginner friendly with minimal user inputs

    R 1

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