bhavyagoel Goto Github PK

followers: 81.0 following: 13.0 repos: 54.0 gists: 0.0

Name: Bhavya Goel

Type: User

Company: @Airbnb

Bio: SDE @ Airbnb

Twitter: GoelBhavya

Location: Delhi NCR, India

Blog: https://bhavyagoel.github.io/

Hi , I'm Bhavya Goel

Deep Learning Enthusiast from India.

🔭 I’m currently working on Building and Deploying containerised applications.
🌱 I’m currently learning DevOps, Smart Contracts, Web3.
👯 I’m looking to collaborate on ECG Based Disease Classification
🤝 I’m looking for help with Functional Programming
📫 How to reach me [email protected]
⚡ Fun fact Apart from my skill set, I can assure you help over other fields as well.

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Bhavya Goel's Projects

appldaily

Web App to track APPL behaviour based on News, News Sentiment, Historic Trends

arrythmicecg

ECG based disease classifier made using Deep Neural Networks, attention model and a novel data balancing approach.

auction-dapp

A decentralized application for bidding on Ethereum blockchain.

backend-sample-app

A simple express backend application to demonstrate the usage of Dyte APIs. This backend is required to be hosted to work in collaboration with the web and mobile sample apps.

cropanalysis

A jupyter notebook with crop analysis algorithms utilizing digital elevation models and multi-spectral imagery (R-G-B-NIR-Rededge-Thermal)

data-science-internship-by-iet

In association with Skillship

depmgmt

A CLI tool for managing your dependencies.

disaster-management-sms-pipeline

dotfiles-fedora

The best and strongest dotfiles. Editor: Neovim; Shell: zsh(zinit, powerlevel10k); Terminal: tmux, wezterm; Desktop: i3-gaps/sway, rofi, dunst; OS: ArchLinux, (Ubuntu/Fedora/CentOS)

epidemic-confinement

To find minimum possible danger area which we need to confine to avoid further outbreak of disease with the help of CONVEX HULL.

FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows to: crop the image; remove soil effect; build vegetation indices; rotate the image; build the plot shapefile; extract information for each plot; and evaluate stand count, canopy percentage, and plant height.