mayankrai001

mayankrai001's Stars

• mayankrai001/02ReactProject

  Basic react project 2

  Language:JavaScript1

• mayankrai001/instagram-features

  Built some of the features of instagram

  Language:CSS1

• mayankrai001/bmi-calculator

  built a basic bmi calculator to understands basic concepts of react

  Language:JavaScript1

• mayankrai001/weather-app

  Built a simple weather app using weatherapi and used React.js and Tailwind css

  Language:JavaScript1

• mayankrai001/DataAnalyticsLandingPage

  Language:JavaScript1

• mayankrai001/docs-card

  Built a basic cards layout which displays little notes written on them also used framer motion to drag the cards across the screen

  Language:JavaScript1

• samee-r10/Sentiment-Analysis-Using-RNN

  Recurrent Neural Network

  Language:Jupyter Notebook4

• mayankrai001/01ReactProject

  This is my first React Practice Project

  Language:JavaScript1

• hiteshchoudhary/chai-aur-react

  chai aur react series on youtube

  Language:JavaScript8.7k1.1k

• mayankrai001/mayank-react

  react practice

  Language:JavaScript1

• mayankrai001/javascript-tutorials

  All my javascript codes

  1

• mayankrai001/whatsapp-clone

  Language:JavaScript21

• mayankrai001/rock-paper-scissors_game

  Built a simple rock-paper-scissor game using html , css and javascript

  Language:JavaScript1

• mayankrai001/portfolio

  Basic portfolio website using html and css

  Language:HTML1

• JayeshVP24/Activity-Dekho

  AICTE Diary for institutes to maintain events attendance for Students & Clubs

  Language:TypeScript242

• mayankrai001/collegewebsitefrontend

  Tried to create a frontend for a college website using css and html

  Language:HTML2

• mayankrai001/used_car_price_prediction

  1

• mayankrai001/student_db

  1

• prathikshetty2002/MovieWanderer

  I have created this movie recommendation system using the ML and nltk , with help of youtube , documentation of streamlit app and heroku hosting. It recommends you five movies based on the similarity scale of the movie associated with it.

  Language:Jupyter Notebook9

• prathikshetty2002/Research-Nerd

  A research paper recommender system built with ML algorithms and designed by pleasant UI/UX . This project contains a wide variety of tech stack namely React, Next JS, Tailwind CSS, Firebase, Flask, Python, Figma and a number of ML libraries to build an efficient model that recommends Top 10 papers. These recommendations are based on a hybrid model that fetches this similarity from user prefernces and a content based filtering approach.It has the following functionalities :

  Language:TypeScript171