Name: Nilkanth Shirodkar
Type: User
Company: Persistent Systems
Bio: Lead Software Engineer at Persistent Systems, Linux enthusiast, software junkie and hardware addict. I just love ā working with computers
Twitter: nilkanthshet
Location: Goa
Blog: https://www.linkedin.com/in/nilkanthshirodkar/
Nilkanth Shirodkar's Projects
Build Frontend Application using Angular 6 and reactive forms with custom validation
Angular Change Detection Strategy
Angular js curd project
Angular Component lifecycle hooks ā”ļø
Build Angular 6 app with material and Firebase as backend
Easy online bill paying solution for you
openshift cluster cloud
Create ubuntu docker file and type "docker build -t filename . " and then start running container using command "docker run -it filename"
Building API using ASP.NET CORE 2.2 with Angular 7
Building Fake News Detection using Angular 6 in the frontend, Node JS in Backend to build API using Express JS and Python Scikit Learn machine learning package for detecting Fake News.
Hacking Book
Ionic App development using Angular JS
Building InAppBrowser App Using Ionic Framework
Building a JavaScript Development Environment
creating kubernetes deployment, pods, service and logs using busybox os
Container Images and Registry
machine learning for hackers
College Website Development
Personal Profile Readme
Building Node JS API using sequelize and MYSQL DB
Online Quiz Using PHP
Create Polls, Surveys & Quizzes Quickly and Easily Online
Porter stemming algorithm is a process for removing the commoner morphological and inflexional endings from words in Konkani. Mostly Used by Google Search Engine
Deploy PostgreSQL on Kubernetes => Postgres Docker Image, Config Maps for storing Postgres configurations, Persistent Storage Volume, PostgreSQL Deployment, PostgreSQL Service
SEO is the process of getting traffic from search engines such as Google, Yahoo and Bing. local listings are shown and ranked based on what the search engine considers most relevant to users.
Add your sitemap and run the project, code will start scanning links and will get indexed in google search
SNAKE LADDER GAME USING C
Automatic Speech Recognition (ASR) system was implemented using the HMM toolkit for building HMM model using training data. Then, this trained HMM Model was used for recognising words and results revealed that 80.02% accuracy for Phoneme Level Acoustic Model and 79.36% accuracy for word Level Acoustic Model. This developed system can be used by developers and researchers who are interested in speech recognition for language and any other related Indian languages.