ParasGarg

ParasGarg

👤 Developer

5 repositories on SrcLog

View on GitHub
5 Repos
134 Stars
85 Forks
134 Watchers

Repositories (5)

Online-Grocery-Store ParasGarg/Online-Grocery-Store JavaScript

Online Grocery Store is an eCommerce based web application for our Web Programming project. We had developed a sample in which user can search and find necessary information about any grocery item, can proceed to checkout to buy products. User can create an account, update personal information, can check its past activities, orders and transactions, and cart items.

56
Stevens-Computer-Science-Courses-Materials ParasGarg/Stevens-Computer-Science-Courses-Materials JavaScript

This repository consists of assignments, lab works, quizzes and more. These assessments belong to the Computer Science major at Stevens Institute of Technology. The materials available in this repository are the among the popular courses offered in Computer Science major in Master of Science. This repository also consists, the solutions of all course works and projects those I solved and submitted during my graduation from Fall 2016 through Spring 2018. Note: All these exercises and assessments (given by university professors) and solutions are for references only.

46
Fingerprint-Authentication-for-ATM ParasGarg/Fingerprint-Authentication-for-ATM Matlab

Fingerprint Authentication for ATM is about the bio-metric authentication security system for ATM which enabled the fingerprint authentication for traditional cash machines.

27
Share-Your-Taste ParasGarg/Share-Your-Taste JavaScript

The project is a web application based on the theme Social Goods. This application provides a platform to people who want to donate their left-over and other stuff which is not necessary for them by just posting the item details, pickup location and pickup time. People in need can lookup for essential items nearby their current locations and can follow up the person all through this app.

4
Context-Extraction ParasGarg/Context-Extraction Python

The main aim of the project is to scrap reviews from a website for American cuisine restaurants in NYC. Then from the scrapped reviews, it would extract the context and calculate the accuracy for each context. (Contexts considered are: Whom, When, Where, and Occasion) - 'Whom' denotes, with whom the user went to the restaurant (example: friends, family, etc.) - 'When' denotes, for which part of the day the user dined in (example: lunch, dinner, etc.) - 'Where' denotes, whether the user is local or tourist - 'Occasion' denotes, for which particular occasion the user visited (example: birthday, wedding anniversary, etc.)

1