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Divyansh Singh's Projects

cowin-notifier icon cowin-notifier

Get notified on your phone and computer when there is a vaccine slot available at your location, by running a script on your computer.

dc.js icon dc.js

Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js

flightsuretydapp icon flightsuretydapp

Insurance for flight passengers, pay up to 1 ether and get back x1.5 of what you paid if the flight is late. (Udacity Blockchain Nanodegree project)

jodhpur-villages-analysis icon jodhpur-villages-analysis

This project aims to analyse the data and collect important insights from it using various machine learning techniques and algorithms. For this project i have analysed the Jodhpur city's village directory data. I have showed all the resources and facilities provided in each village using an interactive D3 dashboard. Based on this i have predicted which of the villages are developed, developing and non developed.

maharashtramapviz icon maharashtramapviz

This project is developed to demonstrate district level data on Maharshtra Map.

mit-license icon mit-license

Hosted MIT License with details controlled through this repo

nvd3 icon nvd3

A reusable charting library written in d3.js

readershub icon readershub

A project for adding user authentication to a web application using Expess ans Mongo.

realestate_marketplace icon realestate_marketplace

A decentralized house listing service to prevent title issues that could be mitigated by blockchain technology.

realestatemarketplace icon realestatemarketplace

A decentralized house listing service to prevent title issues that could be mitigated by blockchain technology.

starbucks-capstone-challange icon starbucks-capstone-challange

It is the Starbuck's Capstone Challenge of the Data Scientist Nanodegree in Udacity. We get the dataset from the program that creates the data simulates how people make purchasing decisions and how those decisions are influenced by promotional offers. We want to make a recommendation engine that recommends Starbucks which offer should be sent to a particular customer.

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