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Hi there, I'm Prashant kumar yadav - aka prashant-smart 👋

I'm a Coding enthusiast, Developer, and Competitive Programmer!!

  • 🌱 I’m currently learning everything 🤣
  • 🥅 2022 Goals: Contribute more to Open Source projects
  • ⚡ Fun fact: I love to watching webshows

What I'm focusing on

Currently improving my react skills and also try to be consistent with DSA practise

Connect with me:

codeSTACKr | LinkedIn codeSTACKr | Instagram


Languages and Tools:

Visual Studio Code

HTML5

CSS3

JavaScript

React

MySQL

MongoDB

Git

GitHub



Coding Profiles:

Visual Studio Code Visual Studio Code Visual Studio Code

PRASHANT KUMAR YADAV's Projects

blockchaindb icon blockchaindb

A npm pacakage which used to store the data using blockchain

discord-bot icon discord-bot

A versatile Discord bot with music playback, automated greetings, and broadcast features.

leetcode-analyzer icon leetcode-analyzer

A google chrome extension which add a graph on leetcode page for visualizing different number of question tag in the form of bar graph the basis of number of problem solve by user on specific question tag( now it is for older version )

lesson-14 icon lesson-14

We now need to create our cart feature in our application. To start, we'll create our cartIcon and cartDropdown components. Then we'll create the necessary reducer, actions, and types associated to handling hiding and showing the carDropdown component.

mathbot icon mathbot

MathBot is a transformer-based Math Word Problem (MWP) solver made as the Lab project for CSE 4622: Machine Learning Lab.

mathproblem icon mathproblem

teaching basic algebra such as multiply, divide ,addition,subtraction to primary school students using Reactjs

reactjscoreapi icon reactjscoreapi

A full-stack web project: React.js frontend, .NET Core API backend, SQL Server. Developed features, configured systems, demonstrated strong web development skills

recommendation-system icon recommendation-system

Recommendation System Using three different approaches Simple Recommendation Using Content based( TF-IDF & Bag of words ), Using KNN and Collaborative Filtering (Item-Item). Explanation:https://www.youtube.com/watch?v=lapsqCrSwCo

recommendation-system-1 icon recommendation-system-1

Recommendation System Using three different approaches Simple Recommendation Using Correlation, Using KNN and Collaborative Filtering.

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