A simple blog built using ruby in rubyonrails workshop.

An ecommerce phone site built using Reactjs.You can add, delete and view total items in the cart.

Some basic applications to start with react

Notes portal build using django where student can see, edit, and add notes after authentication,build as for a hackathon

This application is a combination of react with redux and graphql to query data from the api. It also implements serverless side for better implementation.

Progressive web apps improves performance of reactjs applications and also they can be used in offline mode or low bandwidth.

A chat-app which allows chatting between different users and communicates using socket.io,reactjs,expressjs.

Using reactjs redux with firebase authentication an firestore.A notification panel is there to indicate all recent activities.

A reactjs application using react-hooks integrates youtube google-api to build a lookalike of youtube.

Secure transmission of a secret message to the customer using Playfair.Use the last six letters of the customer name as the key.

Webscrapper-to crawl the web pages at the base URL, to take the information from the user about the topics specified, to scrap all the pages that the user needs, to convert the scraped information …

An application to generate tags for questions.Uses stackoverflow dataset from kaggle.

Integration of Flask application with Reactjs.

Visualising working of algorithm Tower of Hanoi using opengl functions.

Search Engine Implementation for databases.Uses Hash data structure to sort out the data and displays top 10 results.

This repo have include answers to problems from codechef,hackerearth,codeforces.

Forming a recommendation on Million Song Dataset using three different ml algorithms.

Lab-programs

My potfolio build using jekyll

A very basic web chatbot using dialogoverflow

A unix application to get all the files from your system.Build as part of my tutorial

basic-ml-datasets-Some ml-datasets to practice different ml techniques.

A ML classification example to train a Naive Bayes model to be able to predict who wrote a document/email, given the words used in it

just testing git hub

A simple blog with login authentications.

Clustering 20 newsgroups dataset comprises around 18000 newsgroups posts on 20 topics.