Discover @SandipDeb05 Open Source projects

Sandip Deb (@SandipDeb05)

SandipDeb05

Stars
30
Global Rank 491,990 (Top 17 %)
Followers 10
Following 17
Registered about 6 years ago
Most used languages

JavaScript
40.9 %

HTML
31.8 %

Java
13.6 %

CSS
13.6 %
Location 🇮🇳 India
Country Total Rank 20,636
Country Ranking

HTML
4,411

CSS
4,662

JavaScript
8,305

virtual-doctor

The main aim of this project to develop a web application which will be using some data mining algorithms, languages used will be Python , HTML, CSS , React ,Javascript. We will be using Mongo DataBase and Node.js as a Web Server. The system will take symptoms and scanned images of reports(like X-RAY) and will run a Machine Learning algorithm to detect the disease from which the user may be suffering. The raw data which will be gathered will be in .csv file and different algorithm implementation will be done on the data after it is being pre-processed. Algorithm Implementation : 1. Decision Tree 2.Naïve Bayes 3. KNN 4. Gradient Boosting 5. Apriori 6. Transfer Learning (VGG16) 7. CNN Framework : React, Flask

Shanghai-market-Dragons

programiz-clone

unDraw-clone

gamingdice

Modern Full Stack ECommerce Application with Stripe

Learn-Spring_Boot

javascript-dsa

Coding practice in JavaScript lang.

github-demo

a simple demo repository to show the basic of git workflow

denim-ecommerce

Java-Learning

Complete Java code samples

SandipDeb05

sandip-learning-git

To learn more about git and github (The advance features)

ThunderBoltz

Magic-hand-kitchen

javaScript-learning

Complete JS learning codes

learn_graphQL_server

hello_react

login-page

Nike-ecommerce

KIITFEST

Pig-game-javascript

ecommerce-template

DataStructure

Complete Data Structure code samples

the-movie-tone

Search your favorite movies, series, games in this website

business-card

sandip_portfolio

datacorejs

datacorejs is a comprehensive and user-friendly collection of essential data structures implemented in JavaScript. Seamlessly integrate arrays, linked lists, stacks, queues, trees, graphs, and hash tables into your projects with ease.