Discover @SauravMukherjee44 Open Source projects

Saurav Mukherjee (@SauravMukherjee44)

SauravMukherjee44

Stars
447
Global Rank 62,428 (Top 3 %)
Followers 1,002
Following 6
Registered over 3 years ago
Most used languages

HTML
33.3 %

JavaScript
29.2 %

Jupyter Notebook
20.8 %

CSS
16.7 %
Location 🇮🇳 India
Country Total Rank 1,612
Country Ranking

HTML
70

CSS
189

Jupyter Notebook
1,783

JavaScript
2,779

CodeIN-Community-Website

Open Source Website for CodeIN Community built using HTML, CSS, JavaScript, Firebase and Bootstrap

Aec-Library-Website

This is an Open-Source Library Website in which you get Resources to learn different topics, Donate book section to donate your old books, and a Book issue section to keep a record of all the books issued. -HacktoberFest Accepted

Portfolio-Saurav-Mukherjee

Portfolio website build using HTML5, CSS3, JavaScript and jQuery.

SauravMukherjee44

Config files for my GitHub profile.

Payment-Gateway-Integration

Payment Gateway Integration for Donating a specific amount of money directly to the Needed one. Payment gateway integration, Razorpay is used.

Netflix-Clone-react-App

Netflix Clone React App

Netflix-Clone-Mobile-App

Netflix Clone React App

Machine-Learning-Task-1

Sparks Foundation Task - 1 (GRIPFEB21) Data Science and Business Analytics Intern | Libraries used - sklearn , numpy , pandas and matplotlib

Jupyter Notebook

Amazon-Clone

Amazon Clone (ReactJS, Webhooks, complete Stripe Payments Checkout, Cloud Firestore database, NextAuth, Redux, Google Authentication, Add to Basket Functionality, Tailwind CSS)

Email-Classification-Model

Classify emails as spam or not spam on the basis of the message.

Jupyter Notebook

Deep-Learning-Model

Project on Python and Deep learning Model

Jupyter Notebook

Community-Coders-Website

TITANIC-SURVIVOUR-ANALYSIS

In this project we are going to build an artificial intelligence neural network to classify the passengers into two classes based on whether they survived the titanic incident or not

Jupyter Notebook

COVID-19-Outbreak-Analysis-Using-Data-Science

We all know that coronavirus is spreading on a daily basis in India. So, let's try to visualise how fast it is spreading. First, let's look at the dashboard created by Johns Hopkins University. You can look at the following live dashboard to see the real-time trend. COVID-19 Live Dashboard Now, let's create a similar map for India using Python to visualise the most affected states in India due to coronavirus.

Jupyter Notebook

Web-Dev-with-NodeJs

Project on Basic Web Dev with NodeJs

100-Days-of-Code-CodeIN-Progress-Report

Agora-SDK-WEB-APP

Implemented Agora SDK on my Community's Website.

Flowers

Dynamic Flower using CSS

Googlecloudready-Program-Badge-generator

Googlecloudready-Program-2022-Badge-generator

Googlecloudready-Program-Leaderborad

Google Cloud Ready Facilitator Program 2022 Leaderboard

Menses

Menses-Enables Menstrual Hygiene Solutions ✅

E-Library

Text-Editor--Stack

Text Editor implemented using Stack

Density-Exchange-Frontend-Task

https://density-exhange-ui-task.netlify.app/

AI-disease-prediction