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Yashvardhan (Yash) V. Nanavati's Projects

cachito icon cachito

(Experimental) Caching service for source code

catiescloset icon catiescloset

Catie's Closet is an Android App for a NGO which helps children with their daily needs like clothes, toileteries, etc.

celery icon celery

Distributed Task Queue (development branch)

dressly icon dressly

A one stop rental marketplace for all your fashion accessories

e2e-tests icon e2e-tests

Repository for covering appstudio by e2e tests.

ec-cli icon ec-cli

Enterprise Contract command line interface

fedora-packages icon fedora-packages

A webapp that visualizes data from various pieces of Fedora Infrastructure. Written in Python using TurboGears2 and Moksha.

fun-cs-problems icon fun-cs-problems

My implementation to a collection of problems ranging from algorithms, data structures, hashing, and data streams, found online, in books, or encountered in classes.

hackrice_machine_learning_api-poc icon hackrice_machine_learning_api-poc

We enabled the app to allow the user to make smart decisions by tapping into **Machine Learning** and **Time- series analysis** which suggest the user whether it would be more beneficial to buy things now or to wait for some time before buying. We **analyze the historical email data** and use **ARIMA model** and **LSTM** to find insights and give smart suggestions to the user. The Machine learning part of the app is carried out separately on the **Google Cloud Platform** to preserve the seamless User-experience of our Application.

iib icon iib

A REST API to manage operator index container images (and some bundle images)

iiblib icon iiblib

IIB lib is python IIB client library that allows user to operate with IIB service

infra-deployments icon infra-deployments

This repository is an initial set of Argo-CD-based deployments of AppStudio components to a cluster, plus a script to bootstrap Argo CD onto that cluster (to drive these Argo-CD-based deployments, via OpenShift GitOps).

irs990-data-analysis icon irs990-data-analysis

Analyzed the data of non-profits in the US based on certain financial metrics using Python

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