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arkanivasarkar/README.md

Hi there, I'm Arkaniva !! ๐Ÿ‘‹

Student, Innovation Enthusiast, Tech Geek, and a Bioengineer!!

  • ๐ŸŽ“ Currently pursuing my master in Medical Engineering
  • ๐Ÿ’ป Looking for part-time opportunities
  • ๐Ÿ€ Iโ€™m currently trying to explore the multidisplinary nature of Bioengineering and learn as much as I can ๐Ÿ˜„
  • ๐Ÿฅ… 2024 Goals: Get into the domain of 3D programming and XR development. ๐Ÿ“ท
  • โšก Looking to collaborate with others in creating something exhilarating
  • ๐Ÿš† I love to travel. ๐Ÿ—ป Mountains are always my first choice.
  • ๐Ÿ’ช Fitness freak: Trained martial artist and swimmer
  • Currently working on: autoBayesian

Project Ideas (AI generated; updates automatically everyday)

  • AI in Diagnosis
    • AI-Powered Early Cancer Detection System
  • AI in Surgery
    • Autonomous Surgical Robot with Enhanced Intraoperative Decision-Making

arkanivasarkar

Languages and Tools:

Python

MATLAB

R

Tensorflow

Solidworks

Ansys

Pinned Loading

  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 76 18

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

    Ensemble RNN based neural network for ECG anomaly detection

    MATLAB 37 7

  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 38 10

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

    Bacterial cell classification into gram positive and gram negative using CNN

    Python 1

  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