sachi42 Goto Github PK

a-travelling-website

assignment-1-sachi42

assignment-1-sachi42 created by GitHub Classroom

assignment-2-sachi42

assignment-2-sachi42 created by GitHub Classroom

classification-of-cardiac-arrhythmia

This project is based on Machine Learning technology in which we have done classification of cardiac arrhythmia using ECG data.

full-stack-1

fullstack-1_2020

This is the repo i will use to store our Fullstack-1 course code

ghoomo-with-us

glajava

learning-javascript

JavaScript Repo

online-examination-system

portfolio_website

Complete Portfolio Website with Bootstrap - HTML/CSS In this project, we are going to learn and build how to create a complete portfolio website with bootstrap using HTML and CSS. We will understand everything from scratch.

project-front-end-responsive

This is my new project. creating a website responsive using only HTML5 and CSS3

sachi-portfolio

My demo project portfolio

templatepractical-28

travelyaari-1

This is the Repository for the Full Stack mini Project using Front End frameworks and Technologies.

travelyaari-api

the backend of TravelYaari Created using ExpressJs, NodeJs, and NoSql Database MongoDB (connect to MongoDB Atlas)

travelyaari-react

This project is based on how an effective travel website will make us feel. It is based on a traveling website with fully-featured functions that will activate the traveling bug with vibrant imagery. This website contains highlights of some important places along with high-quality photography and allows people to book their dream destination within their budgets. It also includes full customer support, an easy payment system, book as per your time choice, full virtual tour of place through different videos and images.

travelyaari-website

Based on travelling in India

unplug-the-player

This is the Repository for the Mini Project to be done using the flask and python libraries, required as a part of the course curriculum.

unplug-the-players-web-app-game

Gaming website based on football with the help of flask with python and ML